ليست عنوان مقالات لاتين فني مهندسي Predictable time structure of blood pressure in human pregnancy Predicting operational availability for systems with redundant, repairable components and multiple sparing levels

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1

Predictable time structure of blood pressure in human pregnancy

2

Predictable time structure of cardiovascular characteristics in human pregnancy

3

Predictable time structure of circadian cardiovascular characteristics in healthy human pregnancy

4

Predictable timestamp under synchronized clocks in a network

5

Predictable Worst-Case Execution Time Analysis for Multiprocessor Systems-on-Chip

6

Predictable yield-driven circuit optimization

7

Predictable, Efficient System-Level Fault Tolerance in C^3

8

Predictable, low-power arithmetic logic unit for the 8051 microcontroller using asynchronous logic

9

Predictably reliable media transport over wireless home networks

10

Predictably unpredictable [Future Predictions]

11

Predict-and-Quantize Priority in Application-Level Multicast for Distributed Interactive Applications

12

Predicted (on-time) equal-charge criterion scheme for constant-frequency control of single-phase boost-type AC-DC converters

13

Predicted absorptance of YBa/sub 2/Cu/sub 3/O/sub 7//YSZ/Si multilayer structures for infrared detectors

14

Predicted and experimental anisotropy of a dual three-phase interior permanent magnet motor for sensorless rotor position control

15

Predicted and Measured Depth Dose Profiles for Pulsed Electron Spectra

16

Predicted and measured errors in estimating rotor position by signal injection for salient-pole PM synchronous motors

17

Predicted and measured finite-width effects in linear induction machines

18

Predicted and measured patterns of vehicle-mounted whip and loop antennas for near vertical incidence skywave (NVIS) propagation

19

Predicted and measured performance of a shaped reflector in a dual-gridded reflector system

20

Predicted and Measured Response of a Missile Model in the Aurora e-Beam Environment

21

Predicted and observed nonlinearity in ruby laser outputs

22

Predicted cross-polar performance of dual-depth corrugated horns

23

Predicted curvature of a glass fiber from the measured curvature of its coating

24

Predicted curvatures and stresses in a fiber-optic interconnect subjected to bending

25

Predicted curvatures and stresses in a fiber-optic interconnect subjected to bending

26

Predicted Detection Performance of MIMO Radar

27

Predicted Effects of Neutron Irradiation on GaAs Junction Field Effect Transistors

28

Predicted Effects of Nonuniform Beam Filling on GPM Radar Data

29

Predicted Effects of Pinhole and Surface Roughness in Magnetoresistive Read Head

30

Predicted efficiency of Si wire array solar cells

31

Predicted Eigenvalue Threshold Based Spectrum Sensing with Correlated Multiple-Antennas

32

Predicted electrical characteristics of 4500 V super multi-RESURF MOSFETs

33

Predicted emittance and brightness of the pseudospark electron-beam

34

Predicted failure criterion (von-Mises stress) for moisture-sensitive plastic packages

35

Predicted fate and transport of mercury emitted from utility boilers in the local atmosphere

36

Predicted foil temperatures in the Brookhaven Accumulator Ring for the NSNS

37

Predicted frequency dependence of microstrip characteristic impedance using the planar-waveguide model

38

Predicted impact of latest h and e values on resistance and voltage traceability in the new SI (système international)

39

Predicted inorbit performance of F.I.R.S.T antenna

40

Predicted insertion loss reductions achieved by implementing three-dimensional microoptical network in chip-scale optical interconnects

41

Predicted Ku-Band Attenuation by Twisted Nonshielded Cable and Twisted Shielded, Controlled Impedance Cable

42

Predicted large-signal performance improvement by active compensation in microwave IMPATT amplifiers

43

Predicted MIMO performance in intra-vehicle channels

44

Predicted Packet Padding for Anonymous Web Browsing Against Traffic Analysis Attacks

45

Predicted Particle Swarm Optimization

46

Predicted Performance Improvement of Auger-Suppressed HgCdTe Photodiodes and $p\\hbox {-}n$ Heterojunction Detectors

47

Predicted Performance of a Heterodyne Detector with a Fiber Optic Coil Hydrophone

48

Predicted performance of a symmetric-pair direction finding system in low signal-to-noise environments

49

Predicted performance of error-control techniques over real channels

50

Predicted performance of Franz-Keldysh effect optical reflection modulators and comparisons with similar multiple quantum well-based devices

51

Predicted performance of Ge/GeSn hetero-phototransistors on Si substrate at 1.55 µm

52

Predicted performance of high-speed integrated-injection logic using InGaAs/InP heterojunction bipolar transistors

53

Predicted performance of magnetized semiconductor phase shifters for millimeter-wave microstrip array antennas

54

Predicted performance of n/sup +/p indium phosphide solar cells under laser illumination

55

Predicted performance of near-optimally designed indium phosphide space solar cells at high intensities and temperatures

56

Predicted performance of quantum-well GaAs-(GaAl)As optical amplifiers

57

Predicted performance of semiconductor junction circulators with losses

58

Predicted Performance Of The Emission-gated amplifier At 487 Mhz And 6-18 Ghz

59

Predicted performance of the NUSC 70 foot over sea water antenna pattern arch

60

Predicted Performance, Global Tracking Network at AMR

61

Predicted performances of power line communication in aircraft

62

Predicted Polarisation Characteristics Of Ocean Colour And Sureace Patterns From Internal Waves

63

Predicted probability enhancement for multi-label text classification using class label pair association

64

Predicted Propagation Delay of Si/Si1-xGex Heterojunction Bipolar Circuits

65

Predicted propagation delay of Si/SiGe heterojunction bipolar ECL circuits

66

Predicted properties of bistatic satellite images

67

Predicted pulsed-power/flash-lamp performance of the NIF main amplifier

68

Predicted radar/optical feature fusion gains for target identification

69

Predicted radiated emissions of systems according to the EMC standards with a time-domain EMI measurement system

70

Predicted reliability of aerospace electronics: Application of two advanced probabilistic concepts

71

Predicted Resonance with Alpha Constant and Einstein´s Equation

72

Predicted results of a HID DC current lamp considering a P-1 radiation model

73

Predicted shielding effectiveness of apertures in large enclosures as measured by MIL-STD-285 and other methods

74

Predicted signal-noise ratio of a P-I-N photodiode distributed amplifier combination

75

Predicted size of the inelastic zone in a ball-grid-array (BGA) assembly

76

Predicted small-signal gain of the HBT distributed amplifier

77

Predicted Small-Signal Gain of the HBT Distributed Amplifier with Practical Terminations

78

Predicted solar cell edge radiation effects

79

Predicted Sum: A Robust Measurement-Based Admission Control with Online Traffic Prediction

80

Predicted Swimming-Associated Gastroenteritis at New York Bight Bathing Beaches

81

Predicted system performance of improved underwater light sources

82

Predicted thermohydraulic performance of the ITER Central Solenoid Model Coil conductors

83

Predicted thresholds of dynamic stability against backward balance loss under slip and nonslip bipedal walking conditions

84

Predicted transient response of the distributed amplifier

85

Predicted vector spectral search algorithm in motion estimation

86

Predicted versus actual performance of the model scale compulsator system

87

Predicted vs Test MTBF´s ... Why the Disparity?

88

Predictedwalk with correlation in particle filter speech feature enhancement for robust automatic speech recognition

89

Predicted-Wavefront Backprojection for knowledge-aided SAR image reconstruction

90

Predictibility of inter-component latency in a software communications architecture operating environment

91

Predicting "Essential" Genes across Microbial Genomes: A Machine Learning Approach

92

Predicting βαβ motifs based on SVM by using the ID and MS values

93

Predicting ΣΔ frequency synthesizer performance

94

Predicting (individual) software productivity

95

Predicting {0, 1}-functions on randomly drawn points

96

Predicting 1/f AM and PM noise in Si BJT amplifiers: a new computer program

97

Predicting 3D quality based on content analysis

98

Predicting 3D structure of proteins from genomic sequences: A genetic algorithm approach

99

Predicting a biological response of molecules from their chemical properties using diverse and optimized ensembles of stochastic gradient boosting machine

100

Predicting a key difference between the fragment beta-amyloid protein and its precursor with signal processing techniques

101

Predicting a multi-parametric probability map of active tumor extent using random forests

102

Predicting a protein´s melting temperature from its amino acid sequence

103

Predicting a Social Network Structure Once a Node Is Deleted

104

Predicting a solar field´s power output, while considering environmental conditions

105

Predicting a stretching behavior of carbon nanotubes using finite element method

106

Predicting a transcription start site: case study with different genomes

107

Predicting a user´s next cell with supervised learning based on channel states

108

Predicting a vehicle or pedestrian´s next move with neural networks

109

Predicting abnormal stock returns with a nonparametric nonlinear method

110

Predicting Academic Achievement Using Multiple Instance Genetic Programming

111

Predicting Academic Performance

112

Predicting Academic Performance in the School of Computing & Information Technology (SCIT)

113

Predicting academic performance with learning analytics in virtual learning environments: A comparative study of three interaction classifications

114

Predicting accuracy in pose estimation for marker-based tracking

115

Predicting accurate and actionable static analysis warnings

116

Predicting acoustic response of a microbubble population for contrast imaging

117

Predicting acute hypotensive episodes from mean arterial pressure

118

Predicting acute hypotensive episodes: The 10th annual PhysioNet/Computers in Cardiology Challenge

119

Predicting acute neurological diseases with Bayesian networks

120

Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads

121

Predicting ADC: A new approach for low power ADC design

122

Predicting adoption of mHealth technology in resource constrained environments

123

Predicting ADSL Lines Data Rate Using Neural Network

124

Predicting Adverse Reactions to Blood Transfusion

125

Predicting AE attenuation in structures by geometric analysis

126

Predicting afterpulsing in free-running, Geiger-mode avalanche photodiodes at 1.06 μm wavelength

127

Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging

128

Predicting age at loss of ambulation in Duchenne muscular dystrophy with deep phenotypic measures

129

Predicting agents tactics in automated negotiation

130

Predicting Age-Prejudiced Employers: A British Pilot Study

131

Predicting Age-Prejudiced Employers: A British Pilot Study

132

Predicting air conditioner load curves from energy audit data: a comparison of predicted and actual air conditioning data from the Athens load control experiment

133

Predicting air-balloon and water-filled infant catheter frequency responses

134

Predicting Airline Passenger Load: A Case Study

135

Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesets

136

Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features

137

Predicting algorithm for RNA pseudoknotted structure

138

Predicting Algorithm of RNA Folding Structure with Pseudoknots

139

Predicting Algorithm of the Polygonal Area of Collapse in the Mine Goaf Based on WebGIS

140

Predicting amount of saleable products using neural network metamodels of casthouses

141

Predicting amplitude and phase noise of modelocked lasers from the pump noise power spectrum

142

Predicting an adequate ratio of Unmanned Vehicles per operator using a system with a mission definition language

143

Predicting an epidemic based on syndromic surveillance

144

Predicting an Object Location Using a Global Image Representation

145

Predicting an Optimal Sparse Matrix Format for SpMV Computation on GPU

146

Predicting an upper bound on SAR ATR performance

147

Predicting and adapting satellite channels with weather-induced impairments

148

Predicting and Avoiding Spurious Tones in a DWA-Mismatch-Shaping DAC

149

Predicting and bypassing end-to-end Internet service degradations

150

Predicting and clustering customer to improve customer loyalty and company profit

151

Predicting and controlling FPGA Device Heat using System monitor and IBERT (internal bit error ratio tester)

152

Predicting and controlling resource usage in a heterogeneous active network

153

Predicting and controlling the dynamics of infectious diseases

154

Predicting and designing for the impact of process variations and mismatch on the trim range and yield of bandgap references

155

Predicting and eliminating built-in test false alarms

156

Predicting and estimating the accuracy of a subpixel registration algorithm

157

Predicting and estimating the accuracy of n-occular optical tracking systems

158

Predicting and Evaluating Distributed Communication Performance

159

Predicting and Evaluating the Effect of Bivalirudin in Cardiac Surgical Patients

160

Predicting and Evaluating the Power of Shared Features

161

Predicting and Exploiting Transient Values for Reducing Register File Pressure and Energy Consumption

162

Predicting and Improving Complex Business Processes: Values and Limitations of Modeling and Simulation Technologies

163

Predicting and improving power reliability

164

Predicting and measuring optical pulse shapes on the OMEGA laser system

165

Predicting and measuring quality of service for mobile multimedia

166

Predicting and measuring quality of service for mobile multimedia

167

Predicting and Mitigating Jobs Failures in Big Data Clusters

168

Predicting and modelling of nonstationary temporal signals with fractal characteristics

169

Predicting and Monitoring El Niño

170

Predicting and obtaining high final test yields

171

Predicting and optimising downlink capacity in a UMTS network

172

Predicting and Optimizing Classifier Utility with the Power Law

173

Predicting and Optimizing Jitter and Eye-Opening Based on Bitonic Step Response

174

Predicting and precluding problems with memory latency

175

Predicting and Preventing Demagnetisation in Permanent Magnet Motor Drives

176

Predicting and preventing demagnetisation in permanent magnet motor drives

177

Predicting and preventing problems associated with remote fault clearing voltage dips

178

Predicting and preventing problems associated with remote fault-clearing voltage dips

179

Predicting and preventing unmasking incurred in coded audio post-processing

180

Predicting and quantifying the technical debt in cloud software engineering

181

Predicting and scaling power consumption in CMOS ASICs

182

Predicting and Tagging Dialog-Act Using MDP and SVM

183

Predicting and testing probability of continuous purchasing of online customers

184

Predicting and testing the effectiveness of voltage-correcting capacitors on two 12 kV distribution lines

185

Predicting and Verifying Forces on Boring Parameters

186

Predicting Annealing of Lithium-Doped Solar Cells during Long Duration Space Missions

187

Predicting annotated HIV-1-Human PPIs using a biclustering approach to association rule mining

188

Predicting Antenna Noise Temperature Due to Rain Clouds at Microwave and Millimeter-Wave Frequencies

189

Predicting Application Behavior in Large Scale Shared-Memory Multiprocessors

190

Predicting application performance using supervised learning on communication features

191

Predicting Approximate Protein-DNA Binding Cores Using Association Rule Mining

192

Predicting Architectural Styles from Component Specifications

193

Predicting Architectural Vulnerability on Multithreaded Processors under Resource Contention and Sharing

194

Predicting arcing in power supplies

195

Predicting Area-Time Tradeoffs for Pipelined Design

196

Predicting arousal with machine learning of EEG signals

197

Predicting arrival times of buses using real-time GPS measurements

198

Predicting Arterial Stiffness From the Digital Volume Pulse Waveform

199

Predicting arterial stiffness with the aid of ensemble empirical mode decomposition(EEMD) algorithm

200

Predicting Asthma-Related Emergency Department Visits Using Big Data

201

Predicting atmospheric ozone using neural networks as compared to some statistical methods

202

Predicting atrial fibrillation and flutter using Electronic Health Records

203

Predicting atrial fibrillation from intensive care unit numeric data

204

Predicting Atrial Fibrillation termination using ECG features, a comparison

205

Predicting Attack-prone Components

206

Predicting attribute based user trustworthiness for access control of resources

207

Predicting auditory tone-in-noise detection performance: the effects of neural variability

208

Predicting Availability of Mobile Peers in Large Peer-to-Peer Networks

209

Predicting Available Bandwidth of Internet Path with Ultra Metric Space-Based Approaches

210

Predicting available transfer capability for power system with large wind farms based on multivariable linear regression models

211

Predicting average-/median-value scattering from cylinders

212

Predicting backscatter characteristics from micron- and submicron-scale ultrasound contrast agents using a size-integration technique

213

Predicting backscatter-biomass and height-biomass trends using a macroecology model

214

Predicting bacterial functional traits from whole genome sequences using random forest

215

Predicting bad pages in NAND flash to improve read time: A dynamic programming approach

216

Predicting bad utility consumers in Malaysia

217

Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories

218

Predicting battery life from usage trajectory patterns

219

Predicting bed requirement for a hospital using regression models

220

Predicting behavior

221

Predicting behavior of induction motors during electrical service faults and momentary voltage interruptions

222

Predicting behavior of induction motors during service faults and interruptions

223

Predicting behavior patterns using adaptive workload models [computer networks]

224

Predicting best answer in community questions based on content and sentiment analysis

225

Predicting best answer using sentiment analysis in community question answering systems

226

Predicting Best Answerers for New Questions: An Approach Leveraging Distributed Representations of Words in Community Question Answering

227

Predicting best design trade-offs: A case study in processor customization

228

Predicting Best Responder in Community Question Answering Using Topic Model Method

229

Predicting Big Five Personality Traits of Microblog Users

230

Predicting bikeshare system usage up to one day ahead

231

Predicting Billboard Success Using Data-Mining in P2P Networks

232

Predicting binary phase shift keyed demodulator performance

233

Predicting binding affinity using differential evolution

234

Predicting Binding Sites in the Mouse Genome

235

Predicting biochemical interactions - human P450 2D6 enzyme inhibition

236

Predicting biometric facial recognition failure with similarity surfaces and support vector machines

237

Predicting biometric system failure

238

Predicting Blogging Behavior Using Temporal and Social Networks

239

Predicting blood glucose levels in diabetics using feature extraction and Artificial Neural Networks

240

Predicting Blood-Brain Barrier Penetration by Stochastic Discrimination

241

Predicting bore deformations and launcher stresses in railguns

242

Predicting Bounds on Queuing Delay in Space-shared Computing Environments

243

Predicting breast cancer recurrence using data mining techniques

244

Predicting breast cancer survivability using data mining techniques

245

Predicting breast cancer survivability using fuzzy decision trees for personalized healthcare

246

Predicting breast cancer survivability using random forest and multivariate adaptive regression splines

247

Predicting Breast Screening Attendance Using Machine Learning Techniques

248

Predicting Breast Tumor via Mining DNA Viruses with Decision Tree

249

Predicting brix of intact pears by a portable NIR spectrometry with LS-SVM

250

Predicting Buffer Overflow Vulnerabilities through Mining Light-Weight Static Code Attributes

251

Predicting bug-fixing time: An empirical study of commercial software projects

252

Predicting Bugs Using Antipatterns

253

Predicting build failures using social network analysis on developer communication

254

Predicting build outcome with developer interaction in Jazz

255

Predicting building contamination using machine learning

256

Predicting bulk electricity system performance indices

257

Predicting bulk electricity system reliability performance indices using sequential Monte Carlo simulation

258

Predicting Burn Patient Survivability Using Decision Tree In WEKA Environment

259

Predicting burst error statistics of digital wireless systems with HARQ

260

Predicting burst in threads of bulletin board systems based on “Connoisseurs”

261

Predicting bus contention effects on energy and performance in multi-processor SoCs

262

Predicting business risk using combined case-based reasoning in Euclidean space

263

Predicting C++ program quality by using Bayesian belief networks

264

Predicting Cache Contention for Multithread Applications at Compile Time

265

Predicting cache needs and cache sensitivity for applications in cloud computing on CMP servers with configurable caches

266

Predicting cache space contention in utility computing servers

267

Predicting Call Center Service Grade with Improved Neural Network Algorithm

268

Predicting Cancer from Microarray Data Using Statistical Method

269

Predicting capacitor reliability in a module-integrated photovoltaic inverter using stress factors from an environmental usage model

270

Predicting capacitor run time for a battery/capacitor hybrid source

271

Predicting car insurance policies using random forest

272

Predicting car purchase intent using data mining approach

273

Predicting car states through learned models of vehicle dynamics and user behaviours

274

Predicting Cardiopulmonary Response to Incremental Exercise Test

275

Predicting cardiothoracic voltages during high energy shocks: methodology and comparison of experimental to finite element model data

276

Predicting cardiovascular disease from real-time electrocardiographic monitoring: An adaptive machine learning approach on a cell phone

277

Predicting cassette exons using transductive learning approaches

278

Predicting catheter ablation outcome in persistent atrial fibrillation using atrial dominant frequency and related spectral features

279

Predicting CDMA spectral regrowth using a general statistical behavioural model for power amplifiers with memory effects

280

Predicting cellular network performances with cell-level monte-carlo simulations

281

Predicting Cement Compressive Strength Using Double-Layer Multi-expression Programming

282

Predicting central station demand and output

283

Predicting Central Station Demand and Output

284

Predicting change impact from logical models

285

Predicting Change Impact in Architecture Design with Bayesian Belief Networks

286

Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

287

Predicting Change Propagation and Impact on Design Schedule Due to External Changes

288

Predicting Change Propagation from Repository Information

289

Predicting change propagation in software systems

290

Predicting change using software metrics: A review

291

Predicting Change: A Study of the Value Frequency Model for Change of Practice

292

Predicting chaos through an harmonic balance technique: an application to the time-delayed Chua´s circuit

293

Predicting chaotic time series by ensemble self generating neural networks merged with genetic algorithm

294

Predicting chaotic time series by ensemble self-generating neural networks

295

Predicting chaotic time series using adaptive wavelet-fuzzy inference system

296

Predicting chaotic time series using relevance vector machine regression

297

Predicting chaotic time series with fuzzy if-then rules

298

Predicting charge-times of implantable cardioverter defibrillators

299

Predicting chemical activities from structures by attributed molecular graph classification

300

Predicting China´s Energy Consumption Using Artificial Neural Networks and Genetic Algorithms

301

Predicting Chinese logistics scale in 10 years with model GM(1,1)

302

Predicting Churn of Expert Respondents in Social Networks Using Data Mining Techniques: A Case Study of Stack Overflow

303

Predicting circuit aging using ring oscillators

304

Predicting circuit board reliability for motor drives under varying application and environmental conditions

305

Predicting circuit performance using circuit-level statistical timing analysis

306

Predicting cis-regulatory modules by method integration

307

Predicting citation counts of papers

308

Predicting citizens´ acceptance of M-government services in Saudi Arabia an empirical investigation

309

Predicting City Transportation Vehicles Using GM(1,1) with Strengthening Buffer Operators

310

Predicting class libraries interface evolution: an investigation into machine learning approaches

311

Predicting class testability using object-oriented metrics

312

Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis

313

Predicting Class-II MHC Binding Peptide Using Global Representation of Peptides

314

Predicting cleavage sites in exogenous antigen using weighted SVM

315

Predicting clicks: CTR estimation of advertisements using Logistic Regression classifier

316

Predicting client/server availability

317

Predicting client-side attacks via behaviour analysis using honeypot data

318

Predicting Clinical Outcomes for Newborns Using Two Artificial Intelligence Approaches

319

Predicting Clinical Phenotype Using OTU-Based Metagenome Representation

320

Predicting cloud attenuation on Earth-space EHF links

321

Predicting cloud resource provisioning using machine learning techniques

322

Predicting cluster tool behavior with slow down factors

323

Predicting CM radiation from strip line structure by equivalent circuit model

324

Predicting CMOS Inverter Response in Nuclear and Space Environments

325

Predicting CMOS speed with gate oxide and voltage scaling and interconnect loading effects

326

Predicting CNR Frequency Hopping Interference by Simulation

327

Predicting Coal Ash Fusion Temperature Using Hybrid of Ant Colony Algorithm and BP Neural Network

328

Predicting Co-Changed Software Entities in the Context of Software Evolution

329

Predicting Co-Complexed Protein Pairs Based on Communication Model Using Diverse Biological Data

330

Predicting Code Change by Using Static Metrics

331

Predicting Coding Effort in Projects Containing XML

332

Predicting coding region candidates in the DNA sequence based on visualization without training

333

Predicting Coherence Communication by Tracking Synchronization Points at Run Time

334

Predicting coke price by semiparametric regression method based on cointegration analysis

335

Predicting Cole-Cole parameters of microfluids with microstrip technology

336

Predicting collective user preference for optimal comfort level in smart buildings

337

Predicting column averaged dry-air mole fractions of carbon dioxide (XCO2) in Peninsular Malaysia by using GOSAT data

338

Predicting Combined Neutron Degradation and Gamma Induced Effects on a Closed Loop System

339

Predicting Combined Rain and Wet Snow Attenuation on Terrestrial Links

340

Predicting combined-cycle natural gas power plant emissions by using artificial neural networks

341

Predicting combustion pressure of automobile engine employing chaos theory

342

Predicting common mode radiation of power bus structure excited by IC’s switching current

343

Predicting common web application vulnerabilities from input validation and sanitization code patterns

344

Predicting Communication Intention in Social Networks

345

Predicting communications activity in the radio spectrum

346

Predicting company failure-a comparison between neural networks and established statistical techniques by applying the McNemar test

347

Predicting complex chaotic time series via complex valued MLPs

348

Predicting complex events for pro-active IoT applications

349

Predicting Complex Waves in Lossless Guides

350

Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method

351

Predicting Component Self-Alignment in Lead-Free Reflow Soldering Technology by Virtue of Force Model

352

Predicting computation time for advanced processor architectures

353

Predicting computer behavior

354

Predicting Computer Science Ph.D. Completion: A Case Study

355

Predicting conditional branch outcomes on a Sobel edge detecting filter

356

Predicting conditional branches with fusion-based hybrid predictors

357

Predicting conducted emissions of multiple VSCs using dimension reduction technique

358

Predicting conductor sag of power lines in a new model of Dynamic Line Rating

359

Predicting conformal aperture directivity for arbitrary curved surfaces

360

Predicting Congressional Votes Based on Campaign Finance Data

361

Predicting conserved hairpin motifs in unaligned RNA sequences

362

Predicting Consistency-Maintenance Requirement of Code Clonesat Copy-and-Paste Time

363

Predicting Consumer Behavior: Using Novel Mind-Reading Approaches

364

Predicting consumer intention to use mobile commerce in Taiwan

365

Predicting Consumer´s Behavior Using Eye Tracking Data

366

Predicting Consumers´ Locations in Dynamic Environments via 3D Sensor-Based Tracking

367

Predicting Content Virality in Social Cascade

368

Predicting Continuous Conflict Perceptionwith Bayesian Gaussian Processes

369

Predicting continuous epitopes in proteins

370

Predicting contradictions in the storage process of diluted recurrent Boolean neural networks

371

Predicting Control Performance of Residential Heating Systems with an Analog Computer

372

Predicting Controller Capacity in Supervisory Control of Multiple UAVs

373

Predicting Cormack classification based on neural network with multiple anthropometric features

374

Predicting Coronary Artery Disease from Heart Rate Variability Using Classification and Statistical Analysis

375

Predicting Coronary Heart Disease risk using health risk assessment data

376

Predicting corporate bankruptcy using modular neural networks

377

Predicting Corporate Financial Distress Based on Fuzzy Support Vector Machine

378

Predicting corporate financial distress based on rough sets and wavelet support vector machine

379

Predicting corporate financial distress by PCA-based support vector machines

380

Predicting corporate financial distress using KPCA and GA-based support vector machine

381

Predicting cost/performance trade-offs for Whitney: a commodity computing cluster

382

Predicting Cotton Yarn Hairiness in Rotor Spinning

383

Predicting Count Loss in Modern Positron-Emission Tomography Systems

384

Predicting coupled noise in RC circuits

385

Predicting coupled noise in RC circuits by matching 1, 2, and 3 moments

386

Predicting coverage in an area from a single simulation

387

Predicting CPU requirements with variability equations of ZF-SQRD and rake receiver in a DSP context

388

Predicting crack initiation and propagation using XFEM, CZM and peridynamics: A comparative study

389

Predicting Credit Card Holder Churn in Banks of China Using Data Mining and MCDM

390

Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach

391

Predicting Criminal Recidivism with Support Vector Machine

392

Predicting Critical Intradomain Routing Events

393

Predicting critical transitions from time series synchrophasor data

394

Predicting Critical Transitions From Time Series Synchrophasor Data

395

Predicting Cross-Site Scripting (XSS) security vulnerabilities in web applications

396

Predicting cruising speed through data-driven driver modeling

397

Predicting cryogenic induction generator performance

398

Predicting Cumulative Number of Failures in Software Using an ANN-PSO Based Approach

399

Predicting Current User Intent with Contextual Markov Models

400

Predicting customer address changes using transaction behavior patterns

401

Predicting customer behavior in telecommunications

402

Predicting customer behavior via calling links

403

Predicting customer churn by integrating the effect of the customer contact network

404

Predicting customer churn with extended one-class support vector machine

405

Predicting Customer Demographics in a Mobile Social Network

406

Predicting Customer Integration Fallout Based on Producer´s Final Quality Audit

407

Predicting Customer´s Preference in E-Commerce Recommendation System: A Genetic Algorithm Approach

408

Predicting customers´ future demand using data mining analysis: A case study of wireless communication customer

409

Predicting customer-supplier relationships using network-based features

410

Predicting cutaneous features for marker-less optical head-tracking in cranial radiotherapy

411

Predicting Cyber Attack Rates With Extreme Values

412

Predicting cybersecurity using quality data

413

Predicting Cycle Time Distributions for Integrated Processing Workstations: An Aggregate Modeling Approach

414

Predicting daily gait behaviors after anterior cruciate ligament surgery: A case study

415

Predicting Daily Ozone Concentration Maxima Using Fuzzy Time Series Based on Two-Stage Partition Method

416

Predicting Damage from 277-V Single Phase to Ground Arcing Faults

417

Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets

418

Predicting Data Access Patterns in Object-Oriented Applications Based on Markov Chains

419

Predicting data cache misses in non-numeric applications through correlation profiling

420

Predicting Data Dependences for Slice Inspection Prioritization

421

Predicting data structures for energy efficient computing

422

Predicting data-dependent jitter

423

Predicting Days in Hospital Using Health Insurance Claims

424

Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions

425

Predicting Defect Content and Quality Assurance Effectiveness by Combining Expert Judgment and Defect Data - A Case Study

426

Predicting defect numbers based on defect state transition models

427

Predicting Defective Software Components from Code Complexity Measures

428

Predicting Defect-Prone Software Modules at Different Logical Levels

429

Predicting Defects and Changes with Import Relations

430

Predicting Defects for Eclipse

431

Predicting defects in disk drive manufacturing: A case study in high-dimensional classification

432

Predicting defects in SAP Java code: An experience report

433

Predicting defects using change genealogies

434

Predicting defects using network analysis on dependency graphs

435

Predicting defects with program dependencies

436

Predicting defect-tolerant yield in the embedded core context

437

Predicting defibrillation outcome based on phase of ventricular activity during ICD implantation

438

Predicting defibrillation success with a multiple-domain model using machine learning

439

Predicting delamination in plastic IC packages and determining suitable mold compound properties

440

Predicting Delays in Software Projects Using Networked Classification (T)

441

Predicting density-based spatial clusters over time

442

Predicting dependability properties on-line

443

Predicting Depression of Social Media User on Different Observation Windows

444

Predicting depth of anesthesia using bispectral parameters in neural networks

445

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture

446

Predicting Design Quality of Object-Oriented Software using UML diagrams

447

Predicting Determinants and Moderating Factors of Mobile Phone Data Flow Service Adoption

448

Predicting Development Effort from User Stories

449

Predicting deviations in software quality by using relative critical value deviation metrics

450

Predicting device performance from pass/fail transient signal analysis data

451

Predicting dialogue acts for a speech-to-speech translation system

452

Predicting die-level process variations from wafer test data for analog devices: A feasibility study

453

Predicting Directed Links Using Nondiagonal Matrix Decompositions

454

Predicting directivity of standard-gain pyramidal-horn antennas

455

Predicting disability levels of community dwelling older individuals using single wrist mounted accelerometer

456

Predicting discrete probability distribution of image emotions

457

Predicting discrimination of formant frequencies in vowels with a computational model of the auditory midbrain

458

Predicting disease by using data mining based on healthcare information system

459

Predicting disease genes based on normalized protein modules and phenotype ontology

460

Predicting disk I/O time of HPC applications on flash drives

461

Predicting distant metastasis in breast cancer using ensemble classifier based on context-specific miRNA regulation modules

462

Predicting distributed retinal source activity from ERG data. I. Multiple stimulus approach

463

Predicting distributed retinal source activity from ERG data. II. Multiple stimulus approach

464

Predicting distribution of a new forest disease using one-class SVMs

465

Predicting distribution system performance against regulatory reliability standards

466

Predicting diverse M-best protein contact maps

467

Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization

468

Predicting DNA-binding locations and orientation on proteins using knowledge-based learning of geometric properties

469

Predicting DNA-Binding Residues of Proteins Using Random Forest and Evolutionary Information Combined with Conservation Information

470

Predicting DNS Server Load Distribution

471

Predicting dominance judgements automatically: A machine learning approach

472

Predicting donations using a forecasting-simulation model

473

Predicting dose-time profiles of solar energetic particle events using Bayesian forecasting methods

474

Predicting downloads of acadamic articles to inform online content management

475

Predicting drastic drop in Chinese stock market with local Hurst exponent

476

Predicting driver destination using machine learning techniques

477

Predicting driver injury severity in freeway rear-end crashes by support vector machine

478

Predicting Driver Intent from Models of Naturalistic Driving

479

Predicting driver lane change intent using HCRF

480

Predicting driver maneuvers by learning holistic features

481

Predicting driver operations inside vehicles

482

Predicting driving behavior using inverse reinforcement learning with multiple reward functions towards environmental diversity

483

Predicting driving speed using neural networks

484

Predicting drug absorption rates through human skin

485

Predicting drug contents of hydroxypropylmethylcellulose films using Artificial Neural Network

486

Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach

487

Predicting drug efficacy based on the integrated breast cancer pathway model

488

Predicting drug side effects based on link prediction in bipartite network

489

Predicting Drug-Induced QT Prolongation Effects Using Multi-View Learning

490

Predicting drug-target interaction for new drugs using enhanced similarity measures and super-target clustering¹

491

Predicting dual-mode and dual-link UE BER performance based on its local realistic MIMO antenna

492

Predicting durability in DHTs using Markov chains

493

Predicting dynamic computational workload of a self-driving car

494

Predicting dynamic range and intensity discrimination for electrical pulse-train stimuli using a stochastic auditory nerve model: the effects of stimulus noise

495

Predicting Dynamic Requests Behavior in Long-Term IaaS Service Composition

496

Predicting dynamic specifications of ADCs with a low-quality digital input signal

497

Predicting E. Coli promoters using formal grammars

498

Predicting earthquakes

499

Predicting Eclipse Bug Lifetimes

500

Predicting Edge Signs in Social Networks Using Frequent Subgraph Discovery

501

Predicting Edges and Vertices in a Network

502

Predicting effect of workload change on system resources

503

Predicting effective drug combinations via network propagation

504

Predicting Effectiveness of Automatic Testing Tools

505

Predicting effectiveness of cardiac resynchronization therapy based on QRS decomposition using the Meyer orthogonal wavelet transformation

506

Predicting Effectiveness of IR-Based Bug Localization Techniques

507

Predicting efficacy of robot-aided rehabilitation in chronic stroke patients using an MRI-compatible robotic device

508

Predicting ejection fraction improvement by mechanical model and cine magnetic resonance images

509

Predicting Elections for Multiple Countries Using Twitter and Polls

510

Predicting electric power system restoration

511

Predicting Electric Vehicle impacts on residential distribution networks with Distributed Generation

512

Predicting electrical breakdown in polymeric insulators. From deterministic mechanisms to failure statistics

513

Predicting electrical breakdown in polymeric insulators: from deterministic mechanisms to failure statistics

514

Predicting Electrical Cardioversion outcome from surface ECG recordings through Wavelet Sample Entropy

515

Predicting electrical power output by using Granular Computing based Neuro-Fuzzy modeling method

516

Predicting Electricity Consumption Using Neural Networks

517

Predicting electricity consumption: A comparative analysis of the accuracy of various computational techniques

518

Predicting Electromagnetic Coupling between HF, VHF and UHF Antennas using NEC

519

Predicting electronic meter reliability

520

Predicting embedding strength in audio steganography

521

Predicting EMC emissions from printed circuit boards using numerical modeling tools

522

Predicting Emergency Department Length of Stay Using Quantile Regression

523

Predicting Emergent Properties of Component Based Systems

524

Predicting EMG Based Elbow Joint Torque Model Using Multiple Input ANN Neurons for Arm Rehabilitation

525

Predicting EMG with generalized Volterra kernel model

526

Predicting EMI emission levels using EMSCAN

527

Predicting EMI induced delay errors in integrated circuits: Sensitivity to the velocity saturation index

528

Predicting Emotional Responses to Long Informal Text

529

Predicting emotions induced by music using system identification theory

530

Predicting employee relations in enterprises by bi-directional link mining

531

Predicting Encounters in Opportunistic Networks Using Gaussian Process

532

Predicting endocardial potentials from epicardial potentials for external stimuli

533

Predicting end-point locomotion from neuromuscular activities of people with spina bifida: A self-organizing and adaptive technique for future implantable and non-invasive neural prostheses

534

Predicting End-to-end Network Load

535

Predicting enemy force closure with simulation

536

Predicting energy and performance overhead of Real-Time Operating Systems

537

Predicting energy consumption of MPEG video playback on handhelds

538

Predicting Energy Demand Peak Using M5 Model Trees

539

Predicting energy expenditure from photo-plethysmographic measurements of heart rate under beta blocker therapy: Data driven personalization strategies based on mixed models

540

Predicting Energy Measurements of Service-Enabled Devices in the Future Smartgrid

541

Predicting Enterprise Efficiency: The Impact of IT Capability

542

Predicting Entrepreneurship from Financial Statements: Three Draft Criteria

543

Predicting environment illumination effects on material appearance

544

Predicting environmental effect on approach landing systems using hybrid model

545

Predicting environmental restoration activities through static simulation

546

Predicting epileptic seizure from MRI using fast single shot proximal support vector machine

547

Predicting Epileptic Seizures in Scalp EEG Based on a Variational Bayesian Gaussian Mixture Model of Zero-Crossing Intervals

548

Predicting equity market price impact with performance weighted ensembles of random forests

549

Predicting error floors of structured LDPC codes: deterministic bounds and estimates

550

Predicting error in rigid-body point-based registration

551

Predicting error rate for microprocessor-based digital architectures through C.E.U. (Code Emulating Upsets) injection

552

Predicting ESD Related Reliability Effects

553

Predicting Essential Proteins Based on Weighted Degree Centrality

554

Predicting ethanol concentration behavior of future harvests using Knowledge Discovery in Database

555

Predicting ethnicity and gender from iris texture

556

Predicting eucalypt biochemistry from HYPERION and HYMAP imagery

557

Predicting Eukaryotic Promoter using Both Interpolated Markov Chains and Time-Delay Neural Networks

558

Predicting evacuation time using learnable building block method

559

Predicting Events for the Simulation of Hybrid Systems

560

Predicting Evoked Emotions in Video

561

Predicting exchange rates using a fuzzy learning system

562

Predicting exchange rates with sentiment indicators: An empirical evaluation using text mining and multilayer perceptrons

563

Predicting Execution Readiness of MPI Binaries with FEAM, a Framework for Efficient Application Migration

564

Predicting execution time of machine learning tasks using metalearning

565

Predicting execution time of relay ladder logic for programmable logic controllers

566

Predicting expected gray level statistics of opened signals

567

Predicting experienced travel time with neural networks: a PARAMICS simulation study

568

Predicting expert developers for newly reported bugs using frequent terms similarities of bug attributes

569

Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network

570

Predicting eye fixations using convolutional neural networks

571

Predicting Eye Fixations With Higher-Level Visual Features

572

Predicting face movements from speech acoustics using spectral dynamics

573

Predicting faces in video sequences using eigenspace update algorithms

574

Predicting factors affecting likelihoods in engineering problems

575

Predicting Faculty Performance Using Regression Model in Data Mining

576

Predicting failing bitmap signatures for memory arrays with critical area analysis

577

Predicting Failing Queries in Video Search

578

Predicting failure in soft tissue phantoms via modeling of non-predetermined tear progression

579

Predicting failure modes to improve reliability

580

Predicting failure times of railcar wheels and trucks by using wayside detector signals

581

Predicting failures in auditory detection from changes in the EEG spectrum

582

Predicting Failures in Dynamic Composite Services with Proactive Monitoring Technique

583

Predicting Failures in Power Grids: The Case of Static Overloads

584

Predicting failures of computer systems: a case study for a telecommunication system

585

Predicting Failures of Vision Systems

586

Predicting far-field RCS from near-field data based on MOM

587

Predicting fast-scale instabilities in switching power converters: a ripple-based unified perspective

588

Predicting fault detection effectiveness

589

Predicting fault diagnosis performance: why are some bugs hard to find?

590

Predicting fault incidence using software change history

591

Predicting fault prone modules by the Dempster-Shafer belief networks

592

Predicting Fault Proneness of Classes Trough a Multiobjective Particle Swarm Optimization Algorithm

593

Predicting fault-prone classes with design measures in object-oriented systems

594

Predicting Fault-Prone Modules Using the Length of Identifiers

595

Predicting fault-prone modules with case-based reasoning

596

Predicting fault-prone software components in telecommunication assembly patches with imbalanced datasets

597

Predicting fault-prone software modules in embedded systems with classification trees

598

Predicting fault-prone software modules in telephone switches

599

Predicting fault-prone software modules using feature selection and classification through data mining algorithms

600

Predicting Fault-Prone Software Modules with Rank Sum Classification

601

Predicting fault-proneness using OO metrics. An industrial case study

602

Predicting Faults from Cached History

603

Predicting Faults in High Assurance Software

604

Predicting faults using the complexity of code changes

605

Predicting faults with real-time diagnosis

606

Predicting favorable protein docking poses on a solid surface by particle swarm optimization

607

Predicting FDDI computer network performance using a calibrated software simulation model

608

Predicting feedback compliance in a teletreatment application

609

Predicting female workers´ optimal posture of material handing in semiconductor fabrication workshop by inverse kinematics simulation

610

Predicting Fiber Diameter of Polypropylene (PP) Spunbonding Nonwovens Process: A Comparison Between Physical and Artifical Neural Network Methods

611

Predicting Field Coupling to an IC Using Measured Coupling Factors

612

Predicting field experience of releases on specific platforms

613

Predicting field performance based on FEA and Monte Carlo simulation techniques

614

Predicting field performance of on-board diagnostics using statistical methods

615

Predicting Field Reliability

616

Predicting field strength with a neural ray-tracing model

617

Predicting Field-Performance of Automotive Electronic Products

618

Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with stroke

619

Predicting Final Eye Position Halfway Through a Saccade

620

Predicting Financial Distress of Chinese Listed Corporate by a Hybrid PCA-RBFNN Model

621

Predicting Fingertip Forces by Imaging Coloration Changes in the Fingernail and Surrounding Skin

622

Predicting Fitness Effects of Beneficial Mutations in Digital Organisms

623

Predicting Flammable Material Classifications for the Selection of Electrical Equipment

624

Predicting flexible length linear B-cell epitopes using pairwise sequence similarity

625

Predicting flight arrival times with a multistage model

626

Predicting flow state in daily work through continuous sensing of motion rhythm

627

Predicting flow velocity affected by seaweed resistance using SVM regression

628

Predicting Flu Trends using Twitter data

629

Predicting fluctuations in foreign exchange rates

630

Predicting foaming slag quality in electric arc furnace using power quality indices and ANFIS

631

Predicting Foaming Slag Quality in Electric Arc Furnace Using Power Quality Indices and Fuzzy Method

632

Predicting football scores using machine learning techniques

633

Predicting for MTBF Failure Data Series of Software Reliability by Genetic Programming Algorithm

634

Predicting foreground SH, SL and BNH DAM scores for multidimensional objective measure of speech quality

635

Predicting Forensic Admission among the Mentally Ill: A Bayesian Approach

636

Predicting forest cover types with immune and genetic

637

Predicting Formant Frequencies from MFCC Vectors

638

Predicting Fracture in Micrometer-Scale Polycrystalline Silicon MEMS Structures

639

Predicting Free-Living Energy Expenditure Using a Miniaturized Ear-Worn Sensor: An Evaluation Against Doubly Labeled Water

640

Predicting freight with fuzzy granular computing and support vector machine model

641

Predicting Friends and Foes in Signed Networks Using Inductive Inference and Social Balance Theory

642

Predicting from Early Failures the Last Failure Time of a (Log) Normal Sample

643

Predicting fruit maturity stage dynamically based on fuzzy recognition and color feature

644

Predicting FTSE 100 close price using hybrid model

645

Predicting full-reference video quality measures using HEVC bitstream-based no-reference features

646

Predicting Function Changes by Mining Revision History

647

Predicting functional cortical ROIs via joint modeling of anatomical and connectional profiles

648

Predicting functional gene-links from phylogenetic-statistical analyses of whole genomes

649

Predicting functional impact of single amino acid polymorphisms by integrating sequence and structural features

650

Predicting Functional Independence Measure Scores During Rehabilitation With Wearable Inertial Sensors

651

Predicting Functional Regions on Objects

652

Predicting functional sites in biological sequences using canonical correlation analysis

653

Predicting Future Asset Condition Based on Current Health Index and Maintenance Level

654

Predicting future behavior of transient events rapidly enough to evaluate remedial control options in real-time

655

Predicting Future Climate Using Algae Sedimentation

656

Predicting Future Decision Trees from Evolving Data

657

Predicting Future High-Cost Patients: A Real-World Risk Modeling Application

658

Predicting future maintenance cost, and how we´re doing it wrong

659

Predicting future object states using learned affordances

660

Predicting Future Power Requirements for the IT Sector: Making the Case for Including Life-Cycle Implications in Design of Servers

661

Predicting future product performance: Modeling and evaluation of standard cells in FinFET technologies

662

Predicting Future States With $n$ -Dimensional Markov Chains for Fault Diagnosis

663

Predicting future technology performance

664

Predicting Future Traffic Congestion from Automated Traffic Recorder Readings with an Ensemble of Random Forests

665

Predicting gas emissions in a cement kiln plant using hard and soft modeling strategies

666

Predicting gender and weight from human metrology using a copula model

667

Predicting gene function by combining expression and interaction data

668

Predicting gene function with positive and unlabeled examples

669

Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization

670

Predicting gene ontology annotations from sequence data using kernel-based machine learning algorithms

671

Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks

672

Predicting glaucoma progression using multi-task learning with heterogeneous features

673

Predicting Golgi-resident proteins in plants by incorporating N-terminal transmembrane domain information in the general form of Chou´s pseudoamino acid compositions

674

Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD

675

Predicting good, bad and ugly match Pairs

676

Predicting GPA and academic dismissal in LMS using educational data mining: A case mining

677

Predicting GPCR and enzymes function with a global approach based on LCS

678

Predicting G-Protein-Coupled Receptor classes based on adaptive K-nearest neighbor algorithm

679

Predicting GPU Performance from CPU Runs Using Machine Learning

680

Predicting gradation of L2 English mispronunciations using ASR with extended recognition network

681

Predicting grade of prostate cancer using image analysis software

682

Predicting grain protein content of winter wheat based on landsat TM images and leaf nitrogen Content

683

Predicting grain starch content of winter wheat through remote sensing method based on HJ-1A/1B images

684

Predicting grid user trustworthiness using neural networks

685

Predicting group emotion in kindergarten classes by modular Bayesian networks

686

Predicting groupware usage

687

Predicting Groupware Use from the Perspectives of Workflow, Information and Coordination

688

Predicting H.264 Packet Loss Visibility using a Generalized Linear Model

689

Predicting halfway through simulation: Early scenario evaluation using intermediate features of agent-based simulations

690

Predicting Hall thruster operational lifetime with computational models

691

Predicting hand forces from scalp electroencephalography during isometric force production and object grasping

692

Predicting hand orientation in reach-to-grasp tasks using neural activities from primary motor cortex

693

Predicting harmonic distortion in switched-current memory circuits

694

Predicting harmonic distortion in switched-current memory circuits

695

Predicting harmonic distortion in switched-current memory circuits

696

Predicting harmonic problems resulting from customer capacitor additions for demand-side management

697

Predicting health of a project using metric generator

698

Predicting health patterns using sensor sequence similarity and NLP

699

Predicting heart beats using co-occurring constrained sequential patterns

700

Predicting Hepatitis C Virus Protease Cleavage Sites Using Generalized Linear Indicator Regression Models

701

Predicting hereditary cancer by combining family history and medical information

702

Predicting high frequency characteristics of the windings of large electrical machines-a transmission line analysis approach

703

Predicting high resolution image edges with a generic, adaptive, 3-D vehicle model

704

Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming

705

Predicting High-Risk Preterm Birth Using Artificial Neural Networks

706

Predicting hit movie concepts using news articles

707

Predicting HIV-1 Drug Resistance: A Comparison of Three Learning Algorithms

708

Predicting HIV-1 T Cell Epitopes Using Bio-basis Function Neural Networks

709

Predicting Home and Work Locations Using Public Transport Smart Card Data by Spectral Analysis

710

Predicting home network problems using diverse data

711

Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach

712

Predicting Hot-Spots in Distributed Cloud Databases Using Association Rule Mining

713

Predicting hottest spot temperatures in ventilated dry type transformer windings

714

Predicting how badly “good” software can behave

715

Predicting human cortical connectivity for language areas using the Conel database

716

Predicting human creativity perception

717

Predicting human gaze using quaternion DCT image signature saliency and face detection

718

Predicting human intention in visual observations of hand/object interactions

719

Predicting human microRNA-disease associations based on support vector machine

720

Predicting Human Movement Based on Telecom´s Handoff in Mobile Networks

721

Predicting human papilloma virus prevalence and vaccine policy effectiveness in demographic strata

722

Predicting human reaching motion in collaborative tasks using Inverse Optimal Control and iterative re-planning

723

Predicting human subcutaneous glucose concentration in real time: A universal data-driven approach

724

Predicting Hurricane Power Outages to Support Storm Response Planning

725

Predicting hyperkalemia by a two-staged artificial neural network

726

Predicting hyperkalemia by the use of a 12-lead temporal-spatial electrocardiograph: clinical evaluations and model simulations

727

Predicting hyperlactatemia in the MIMIC II database

728

Predicting hypoglycemia in diabetic patients using data mining techniques

729

Predicting hysteretic oscillations in over-temperature protection of a power IC using transient electrothermal circuit simulation

730

Predicting IC Defect Level Using Diagnosis

731

Predicting ICU hemodynamic instability using continuous multiparameter trends

732

Predicting identification errors in a multibiometric system based on ranks and scores

733

Predicting IGBT junction temperature under transient condition

734

Predicting IGBT Junction Temperature with Thermal Network Component Model

735

Predicting image caption by a unified hierarchical model

736

Predicting image matching using affine distortion models

737

Predicting Image Popularity in an Incomplete Social Media Community by a Weighted Bi-partite Graph

738

Predicting imminent episodes of ventricular tachyarrhythmia - retrospective analysis of short R-R records from ICD

739

Predicting imminent episodes of ventricular tachyarrhythmia using an entropy-based feature in the EMD domain

740

Predicting immunogenic T-cell epitopes by combining various sequence-derived features

741

Predicting impact of news on stock price: An evaluation of neuro fuzzy systems

742

Predicting impulse responses in mountainous areas

743

Predicting in situ sediment fuel cell potential

744

Predicting in-building coverage for microcells and small macrocells

745

Predicting incident energy to better manage the electric arc hazard on 600 V power distribution systems

746

Predicting incident energy to better manage the electric arc hazard on 600-V power distribution systems

747

Predicting Incident Reports for IT Help Desk

748

Predicting indirect branches via data compression

749

Predicting indium and tellurium availability

750

Predicting individual performance in student project teams

751

Predicting individual thermal comfort using machine learning algorithms

752

Predicting indoor performance of a 60 GHz WPAN

753

Predicting indoor temperature variation through sensor data pattern analysis

754

Predicting inductance roll-off with dc excitations

755

Predicting induction motor circuit parameters

756

Predicting induction motor performance using a unit circle

757

Predicting information cascade on Twitter using support vector regression

758

Predicting Information Diffusion Initiated from Multiple Sources in Online Social Networks

759

Predicting information diffusion via matrix factorization based model

760

Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in cardiology challenge 2012

761

Predicting in-hospital-death and mortality percentage using logistic regression

762

Predicting initialization effectiveness for trajectory optimization

763

Predicting in-memory database performance for automating cluster management tasks

764

Predicting In-Plant Test Failures

765

Predicting Input Impedance and Efficiency of Graphene Reconfigurable Dipoles Using a Simple Circuit Model

766

Predicting insertion loss in multi-fiber multimode connectors

767

Predicting Insertion Loss of Common-Core Powerline Filters

768

Predicting Insider Threat Risks through Linguistic Analysis of Electronic Communication

769

Predicting instabilities in gas-lifted wells simulation

770

Predicting Insulation Failures with Direct Voltage

771

Predicting insurance for sustainable development using gradient methods based neural networks

772

Predicting Integrated Circuit Reliability from Wafer Fabrication Technology Reliability Data

773

Predicting Intelligence Using Hybrid Artificial Neural Networks in Context-Aware Tunneling Systems under Risk and Uncertain Geological Environment

774

Predicting intended to use of web portal using extended technology acceptance model (TAM): Some perspective on information management students

775

Predicting intensive care unit readmissions using probabilistic fuzzy systems

776

Predicting Intention and Direction of Wrist Movement from EEG

777

Predicting Intentions to Apply for Jobs Using Social Networking Sites: An Exploratory Study

778

Predicting Interacting Residues Using Long-Distance Information and Novel Decoding in Hidden Markov Models

779

Predicting Interactions Between Agents in Agent-Based Modeling and Simulation of Sociotechnical Systems

780

Predicting interactive properties by mining educational multimedia presentations

781

Predicting Interconnect Delay for Physical Synthesis in a FPGA CAD Flow

782

Predicting interconnect uncertainty with a new robust model order reduction method

783

Predicting Interests of People on Online Social Networks

784

Predicting Internet End-to-End Delay: A Multiple-Model Approach

785

Predicting Internet end-to-end delay: a multiple-model approach

786

Predicting Internet end-to-end delay: an overview

787

Predicting Internet Network Distance Using ISOMAP

788

Predicting Internet network distance with coordinates-based approaches

789

Predicting internet usage in two emerging economies using an extended technology acceptance model (TAM)

790

Predicting interruptions in dyadic spoken interactions

791

Predicting inter-thread cache contention on a chip multi-processor architecture

792

Predicting intrinsically disordered proteins based on multi-scale characteristics fusion

793

Predicting intrusions with local linear models

794

Predicting Inverter-Induced Harmonic Loss by Improved Harmonic Injection

795

Predicting ion charge state distributions of vacuum arc plasmas

796

Predicting ionospheric scintillation for satellite communications

797

Predicting ionospheric scintillation for satellite communications

798

Predicting ionospheric storm-time fof2 using Support Vector Machine

799

Predicting iPhone Sales from iPhone Tweets

800

Predicting iris vulnerability to direct attacks based on quality related features

801

Predicting iron losses in soft magnetic materials with arbitrary voltage supply: an engineering approach

802

Predicting islanding operation of grid connected PV inverters

803

Predicting isolation between airbornre antennas using equivalent models

804

Predicting item difficulty in a language test with an adaptive neuro fuzzy inference system

805

Predicting job completion times using system logs in supercomputing clusters

806

Predicting job start times on clusters

807

Predicting journey parameters for the intelligent control of a hybrid electric vehicle

808

Predicting journeys for DTN routing in a public transportation system

809

Predicting Juvenile Diabetes from Clinical Test Results

810

Predicting K/S Value of the Reactive Dyes Based on RBF Neural Network

811

Predicting Key Recognition Difficulty in Polyphonic Audio

812

Predicting Kinase-specific Phosphorylation Sites Using a Multitask Classification Framework

813

Predicting kinematic configuration from string length for a snake-like manipulator not exhibiting constant curvature bending

814

Predicting KRAS-targeting MicroRNAs using in silico approach

815

Predicting kWh/kWp performance for amorphous silicon thin film modules

816

Predicting Labor Cost through IT Management Complexity Metrics

817

Predicting laboratory testing in intensive care using fuzzy and neural modeling

818

Predicting large-signal CML gate delay using Y-Parameters for fast process optimization

819

Predicting latent attributes by extracting lexical and sociolinguistics features from user tweets

820

Predicting latent attributes of Twitter user by employing lexical features

821

Predicting L-band Microwave Attenuation through Forest Canopy using Directional Structuring Elements and Airborne Lidar

822

Predicting lead sheath cable failures

823

Predicting length of stay at WiFi hotspots

824

Predicting Let-Through Arc-Flash Energy for Current-Limiting Circuit Breakers

825

Predicting let-through arc-flash energy for current-limiting circuit breakers

826

Predicting Levels of Rapport in Dyadic Interactions through Automatic Detection of Posture and Posture Congruence

827

Predicting life from analysis of field aged 500 kV series capacitors

828

Predicting life from analysis of field aged 500 kV series capacitors

829

Predicting life of valve regulated batteries, how can we do it right?

830

Predicting Ligand Binding Residues and Functional Sites Using Multipositional Correlations with Graph Theoretic Clustering and Kernel CCA

831

Predicting ligand binding residues using multi-positional correlations and kernel canonical correlation analysis

832

Predicting likelihood of enrollment among applicants to the UVa undergraduate program

833

Predicting link level performance for enhanced uplink

834

Predicting link travel times from floating car data

835

Predicting Links in Multi-relational and Heterogeneous Networks

836

Predicting Links in Multi-relational Networks

837

Predicting Links in Social Networks Using Text Mining and SNA

838

Predicting liquid filled transformer loading capability

839

Predicting liquid filled transformer loading capability

840

Predicting listener back-channels for human-agent interaction using neuro-dynamical model

841

Predicting listing status of listed companies in China using adaboost approach

842

Predicting lithium-ion battery degradation for efficient design and management

843

Predicting live and dead basal area from LandTrendr variables in beetle-affected forests

844

Predicting load harmonics in three phase systems using neural networks

845

Predicting load transient response of output voltage in DC-DC converters

846

Predicting local and distant metastasis for breast cancer patients using the Bayesian neural network

847

Predicting Local Failure in Lung Cancer Using Bayesian Networks

848

Predicting localized dengue incidences using ensemble system identification

849

Predicting Location-Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns

850

Predicting Long-Term Frequency Drift In FET Oscillators Using Device Modeling

851

Predicting Loop Termination to Boost Speculative Thread-Level Parallelism in Embedded Applications

852

Predicting loss in magnetic steels under arbitrary induction waveform and with minor hysteresis loops

853

Predicting losses of balance during upright stance: evaluation of a novel approach based on wearable accelerometers

854

Predicting low frequency behavior of arbitrary reverberation chamber configurations

855

Predicting Lower Bounds on Failure Power Distributions of Silicon NPN Transistors

856

Predicting lower limb muscular activity during standing and squatting using spikes of primary motor cortical neurons in monkeys

857

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model

858

Predicting Machine Availabilities in Desktop Pools

859

Predicting magnetic amplifier control curves

860

Predicting magnetic coupling of power inductors

861

Predicting magnetic recording performance by using single pulse superposition

862

Predicting maintainability with object-oriented metrics -an empirical comparison

863

Predicting maintenance effort with function points

864

Predicting maintenance performance using object-oriented design complexity metrics

865

Predicting Malaysia business cycle using wavelet analysis

866

Predicting Malignancy from Mammography Findings and Surgical Biopsies

867

Predicting marital dissolutions using radial basis function neural networks

868

Predicting Markov Chain Order in Genomic Sequences

869

Predicting Matchability

870

Predicting Material Removal Rate of Electrical Discharge Machining (EDM) using Artificial Neural Network for High Igap current

871

Predicting Maximum Usable Frequency from Long-Distance Scatter

872

Predicting mechanical properties of cold- rolled low carbon steel based on magnetic parameter measurement using ANFIS model

873

Predicting mechanical properties of cold rolled low carbon steel based on magnetic parameter measurement using artificial neural network

874

Predicting mechanical properties of hot-rolling steel by using RBF network method based on complex network theory

875

Predicting medium-frequency skywave field strength in North America

876

Predicting Membrane Protein Types with Dimensionality Reduction and Kernel Method

877

Predicting memory-access cost based on data-access patterns

878

Predicting Mental Health Status in the Context of Web Browsing

879

Predicting Metabolic Fluxes Using Gene Expression Differences As Constraints

880

Predicting metabolic pathways from metabolic networks with limited biological knowledge

881

Predicting Metal-Binding Sites from Protein Sequence

882

Predicting Method of Leakage Current in Multiple-Gate Amorphous Silicon TFTs for Active-Matrix Electrophoretic Displays

883

Predicting methods of financial distress for retails stemming from high returns

884

Predicting MHC-II Binding Affinity Using Multiple Instance Regression

885

Predicting Micro Air Vehicle landing behaviour from visual texture

886

Predicting microarchitectural power using Interval Based Hierarchical Support Vector Machine

887

Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs

888

Predicting Microbial Interactions Using Vector Autoregressive Model with Graph Regularization

889

Predicting microRNA target sites for interleukin-17 family

890

Predicting MicroRNA targets by integrating sequence and expression data in cancer

891

Predicting microRNA-disease associations by integrating multiple biological information

892

Predicting Microwave Digital Signal Integrity

893

Predicting migration system dynamics with conditional and posterior probabilities

894

Predicting Millimeter Wave Radar Spectra for Autonomous Navigation

895

Predicting MIMO Performance in Urban Microcells Using Ray Tracing to Characterize the Channel

896

Predicting mine dam levels and energy consumption using artificial intelligence methods

897

Predicting minimum inhibitory concentration of antimicrobial peptides by the pseudo-amino acid composition and Gaussian kernel regression

898

Predicting missing contacts in mobile social networks

899

Predicting Missing Items in Shopping Carts

900

Predicting missing links in social networks with hierarchical dirichlet processes

901

Predicting missing links via local feature of common neighbors

902

Predicting Missing Provenance Using Semantic Associations in Reservoir Engineering

903

Predicting mixed-signal dynamic performance using optimised signature-based alternate test

904

Predicting mobile network bandwidth fluctuation to enhance video stream service quality

905

Predicting Mobile Phone User Locations by Exploiting Collective Behavioral Patterns

906

Predicting mobile video inter-download times with Hidden Markov Models

907

Predicting mobility metrics through regression analysis for random, group, and grid-based mobility models in MANETs

908

Predicting Mode Properties of Porous-Core Honeycomb Bandgap THz Fibers by Semi-Analytical Theory

909

Predicting model for identifying the malicious activity of nodes in MANETs

910

Predicting module level RF emissions from IC emissions measurements using a 1 GHz TEM or GTEM Cell - a review of related published technical papers

911

Predicting module level RF emissions from IC emissions measurements using a 1 GHz TEM or GTEM cell — A review of related published technical papers

912

Predicting molded-case circuit breaker let-through characteristics in an electrical system under short-circuit conditions

913

Predicting molded-case circuit breaker let-through characteristics in an electrical system under short-circuit conditions

914

Predicting molecular formulas of fragment ions with isotope patterns in tandem mass spectra

915

Predicting Moment Arms in Diarthroidal Joints - 3D Computer Simulation Capability and Muscle-Tendon Model Validation

916

Predicting mood changes in bipolar disorder through heartbeat nonlinear dynamics: A preliminary study

917

Predicting Mood from Punctual Emotion Annotations on Videos

918

Predicting more from less: Synergies of learning

919

Predicting mortality of ICU patients using statistics of physiological variables and support vector machines

920

Predicting Mosquito Populations In California Rice Fields

921

Predicting motifs in human and mouse genes by using Probabilistic Suffix Trees

922

Predicting mouse transmembrane protein types based on the increment of diversity combined with the support vector machine

923

Predicting movement directions of stock index futures by support vector models with data preprocessing

924

Predicting Movement: When, Which and Where

925

Predicting movie ratings from audience behaviors

926

Predicting movie sales revenue using online reviews

927

Predicting mRNA targets for HSV-1 miRNAs

928

Predicting multi-core system Fmax by data-learning methodology

929

Predicting multi-crystalline solar cell efficiency from life-time measured during cell fabrication

930

Predicting multi-element receive & transmit array capacity outdoors with ray tracing

931

Predicting multimedia traffic in wireless networks: A performance evaluation of cognitive techniques

932

Predicting multimode chassis resonance of single or nested rectangular computer enclosures

933

Predicting multi-platform release quality

934

Predicting Multiple Attributes via Relative Multi-task Learning

935

Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning

936

Predicting Multiple Structured Visual Interpretations

937

Predicting multi-stage attacks based on IP information

938

Predicting multivariate financial time series using neural networks: the Swiss bond case

939

Predicting muscular dystrophy with sequence based features for point mutations

940

Predicting mutation score using source code and test suite metrics

941

Predicting NDUM Student´s Academic Performance Using Data Mining Techniques

942

Predicting nerve guidance conduit performance for peripheral nerve regeneration using bootstrap aggregated neural networks

943

Predicting net asset value of investment fund based on BP neural network

944

Predicting Network Response Times Using Social Information

945

Predicting Neuropsychological Development from Skull Imaging

946

Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture

947

Predicting neutron induced soft error rates: Evaluation of accelerated ground based test methods

948

Predicting New Friendships in Social Networks

949

Predicting News Story Importance Using Language Features

950

Predicting Next Changes at the Fine-Grained Level

951

Predicting Next Location of Twitter Users for Surveillance

952

Predicting Next Search Actions with Search Engine Query Logs

953

Predicting next speaker based on head movement in multi-party meetings

954

Predicting Nocturnal Hypoglycemia Using a Non-parametric Insulin Action Model

955

Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs

956

Predicting node location in a PCS network

957

Predicting node proximity in ad-hoc networks: a least overhead adaptive model for selecting stable routes

958

Predicting noise and jitter in CMOS inverters

959

Predicting noise voltage from trace crossing split planes on printed circuit boards

960

Predicting non-classical secretory proteins by using Gene Ontology terms and physicochemical properties

961

Predicting non-fickian moisture diffusion in EMCs for application in micro-electronic devices

962

Predicting nonlinear behavior in receive phased array antennas

963

Predicting nonlinear electrical performance in single and multiple quantum-barrier varactors (QBV´s) by the Monte Carlo technique

964

Predicting nonlinear network traffic using fuzzy neural network

965

Predicting non-linear torsional dynamics using secondorder solutions

966

Predicting Novel Human Gene Ontology Annotations Using Semantic Analysis

967

Predicting NOx Emissions of Diesel Engine Based on Fluent

968

Predicting Number of Attackers Using Regression Anlaysis

969

Predicting number of hospitalization days based on health insurance claims data using bagged regression trees

970

Predicting Number of Unsupervised Clusters by Supervised Function

971

Predicting numbers of performance failures in the manufacture of dynamic systems

972

Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions

973

Predicting Object Dynamics from Visual Images through Active Sensing Experiences

974

Predicting Object Dynamics in Scenes

975

Predicting object functionality using physical simulations

976

Predicting object interactions from contact distributions

977

Predicting object recognition performance under data uncertainty, occlusion and clutter

978

Predicting Object Trajectories from High-Speed Streaming Data

979

Predicting Object-Oriented Software Maintainability Using Projection Pursuit Regression

980

Predicting occupancy trends in Barcelona´s bicycle service stations using open data

981

Predicting Occupation from Single Facial Images

982

Predicting occupation via human clothing and contexts

983

Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector Machine

984

Predicting occurrences of acute hypoglycemia during insulin therapy in the intensive care unit

985

Predicting odorant chemical class from odorant descriptor values with an assembly of multi-layer perceptrons

986

Predicting of filtering-matching circuits work on complex load with random phase

987

Predicting of Oxidoreductase and Lyase Subclasses by Using Support Vector Machine

988

Predicting of Sludge Acidogenic Fermentation Process on the Mathematical Models

989

Predicting of wideband electromagnetic responses of composites containing magnetic inclusions

990

Predicting of wire network signal based on improved RBF network

991

Predicting oil and gas reservoir and calculating thickness of reservoir from seismic data using neural network

992

Predicting Oil Ring Self-Lubricated Sleeve Bearing Temperature Rise and its Effect on Shaft Criticals

993

Predicting on retweeting of hot topic tweets in microblog

994

Predicting on Scale Development of Higher Education Based on LM and ANN

995

Predicting online media effectiveness based on smile responses gathered over the Internet

996

Predicting online purchase behavior: replications and tests of competing models

997

Predicting online video engagement using clickstreams

998

Predicting onsets of genocide with sparse additive models

999

Predicting operating temperatures for GaAs ICs

1000

Predicting operational availability for systems with redundant, repairable components and multiple sparing levels

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