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Bio-inspired Wake Tracking for Aircraft Formation Flight Based on Reinforcement Learning
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Deep Explainable Relational Reinforcement Learning : A Neuro-Symbolic Approach
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Recognition of User's Activity for Adaptive Cooperative Assistance in robotic surgery
Adaptive Deep Learning through Visual Domain Localization
Learning haptic exploration schemes for adaptive task execution
Gain Customer Insights Using NLP Techniques
A Deep Learning Approach for Object Recognition with NAO Soccer Robots
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Collaborative Programming of Conditional Robot Tasks
Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies
Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Dynamic "Standing Orders" for Autonomous Navigation System by means of Machine Learning
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection