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learning
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keywords:(learning)
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Using reinforcement learning to minimize taxi idle times
Les réseaux apprennants à la SNCF ou comment rendre les organisations vivante
A cold-start-free reinforcement learning approach for traffic signal control
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Artificial intelligence for traffic signal control based solely on video images
Considerazioni sulla formazione mediante simulatori di condotta
Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
Reinforcement learning-enabled genetic algorithm for school bus scheduling
An automatic methodology to measure drivers’ behavior in public transport
Using kinematic driving data to detect sleep apnea treatment adherence
Asynchronous n-step Q-learning adaptive traffic signal control
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Pedestrian Collision Avoidance Using Deep Reinforcement Learning
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Traffic Safety at German Roundabouts—A Replication Study
Projektausbildung in der Berufsausbildung
Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise
Estimating cycle-level real-time traffic movements at signalized intersections
Chancen für die Zukunft durch Bildung
Experimental Closed-Loop Excitation of Nonlinear Normal Modes on an Elastic Industrial Robot
Systematische Wissensvermittlung mit neuen Medien in der Fortbildung
Arterial corridor travel time prediction under non-recurring conditions
Unobtrusive, natural support control of an adaptive industrial exoskeleton using force myography
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
Electric vehicle charging demand forecasting using deep learning model
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information