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Traffic Route Generation and Adaptation Using Case-Based Reasoning
Problems Encountered during Implementation of the Backpropagation
Projektausbildung in der Berufsausbildung
“Free lessons” in aviation safety
Systematische Wissensvermittlung mit neuen Medien in der Fortbildung
Chancen für die Zukunft durch Bildung
Considerazioni sulla formazione mediante simulatori di condotta
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
Reinforcement Learning for Characterizing Hysteresis Behavior of Shape Memory Alloys
Reinforcement Learning of Morphing Airfoils with Aerodynamic and Structural Effects
Reinforcement Learning of a Morphing Airfoil-Policy and Discrete Learning Analysis
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
Road identification in monocular color images using random forest and color correlogram
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Multimode trip information detection using personal trajectory data
Drowsy behavior detection based on driving information
Using kinematic driving data to detect sleep apnea treatment adherence
Application of iterative learning control in tracking a Dubin’s path in parallel parking
Neural-network-based modelling and analysis for time series prediction of ship motion
Artificial intelligence for traffic signal control based solely on video images
Scaling Our World View: How Monoamines Can Put Context Into Brain Circuitry
New Optimal Power Management Strategy for Series Plug-In Hybrid Electric Vehicles
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Asynchronous n-step Q-learning adaptive traffic signal control
Simultaneous Learning Optimization of Hamiltonian Systems and Trajectory Tracking Around an Asteroid
Coordinated Orbit–Attitude–Vibration Control of a Sun-Facing Solar Power Satellite
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning
Identifying traffic conditions from non-traffic related sources