An IEEE Master’s is a solid choice for tech enthusiasts. It delves deep into cutting-edge topics like artificial intelligence, wireless communication, and robotics. The program is all about hands-on experience, letting you apply theoretical knowledge to real-world problems. You’ll be rubbing shoulders with top-notch professionals, expanding your network in the tech realm. The curriculum is dynamic, keeping up with the ever-evolving tech landscape. From coding to advanced algorithms, it’s a tech geek’s paradise. Plus, you get to work on cool projects that can potentially shape the future. No BS, just straight-up tech excellence. If you’re all about pushing boundaries and want to level up your game, an IEEE Master’s is where it’s at.


A Convex Model for Support Vector Distance Metric LearningPDF/DOC
A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone SensorsPDF/DOC
A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular NetworksPDF/DOC
A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing ScenarioPDF/DOC
Acting as a Decision Maker Traffic-Condition- Aware Ensemble Learning for Traffic FlowPDF/DOC
An Artificial-Neural-Network-Based Model for Real-Time Dispatching of Electric Autonomous TaxisPDF/DOC
An Intrusion Detection Method Based on Machine Learning and State Observer for Train-GroundPDF/DOC
Are We Hungry for 3D LiDAR Data for Semantic Segmentation A Survey of Datasets and MethodsPDF/DOC
BARNet Boundary Aware Refinement Network for Crack DetectionPDF/DOC
BNAS Efficient Neural Architecture Search Using Broad Scalable ArchitecturePDF/DOC
A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies DetectionPDF/DOC
A Novel System for Nighttime Vehicle Detection Based on Foveal Classifiers With Real-Time PerformancePDF/DOC
Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed RailwaysPDF/DOC
Analysis of Classifier Training on Synthetic Data for CrossDomain DatasetsPDF/DOC
Behavior2vector Embedding Users’ Personalized Travel Behavior to VectorPDF/DOC
CoDriver ETA Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary TaskPDF/DOC
Cross-Database Micro-Expression Recognition A BenchmarkPDF/DOC
Data-Driven Fault Diagnosis for Traction Systems in HighSpeed Trains A Survey, Challenges, and PerspectivesPDF/DOC
Deep Learning for Road Traffic Forecasting Does It Make a DifferencePDF/DOC
Deep Pain Exploiting Long Short-Term Memory Networks for Facial Expression ClassificationPDF/DOC