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Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Using reinforcement learning to minimize taxi idle times
Applying Machine Learning Tools for Runway Configuration Decision Support
Crash Rate Estimation by Aerial Image Analysis
Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
Recent Advances in Robotic Systems
Recent Advances in Robotic Systems
AI-based Parameter Optimization Method
Speeding Up Optimization-based Motion Planning through Deep Learning
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
A cold-start-free reinforcement learning approach for traffic signal control
Artificial intelligence for traffic signal control based solely on video images
Incremental Skill Learning of Stable Dynamical Systems
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Considerazioni sulla formazione mediante simulatori di condotta
Case-based adaptation for automotive engine electronic control unit calibration
Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
UUV teams, control from a biological perspective
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms