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Intelligence After Next: Breaking Past AI's Confirmation Bias
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Characterizing Smart Grid Events Using Clustering Methods
Sampling-based exploration strategies for mobile robot autonomy
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
Pioneering Data Quality and Security in Smart Grid
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
3D vehicle sensor based on monocular vision
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Traffic Light Control and Machine Learning: A Systematic Mapping Review
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Exploring Image-Based Classification to Detect Vehicle Make and Model. Final Report
Lane change intent analysis using robust operators and sparse Bayesian learning