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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations
Exploring Image-Based Classification to Detect Vehicle Make and Model. Final Report
Future Autonomous Transportation: Challenges and Prospective Dimensions
Gaussian process regression for forecasting battery state of health
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
Intelligence After Next: Breaking Past AI's Confirmation Bias
Intelligent System for Railway Joint Diagnostics