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Considerazioni sulla formazione mediante simulatori di condotta
Detection and classification of vehicle types using machine learning technology
Drones Chasing Drones: Reinforcement Learning and Deep Search Area Proposal
Deep Decentralized Reinforcement Learning for Cooperative Control
Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies
Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories
Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game
Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient
Gait Trajectory and Gait Phase Prediction Based on an LSTM Network
Predicting network flows from speeds using open data and transfer learning
Argumentation-Based Online Incremental Learning
Goal-Conditioned Reinforcement Learning within a Human-Robot Disassembly Environment
Case-based adaptation for automotive engine electronic control unit calibration
Learning-based restoration sequence ordering for multi-site traffic signal failure
Rule-base Reduction in Fuzzy Rule Interpolation-based Q-learning
Grasping learning, optimization, and knowledge transfer in the robotics field
Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties
Reinforcement learning-based multi-agent system for network traffic signal control
Reinforcement learning-based multi-agent system for network traffic signal control
Warning systems triggered by trains increase flight-initiation times of wildlife
Automatic classification of traffic incident's severity using machine learning approaches
Automatic classification of traffic incident's severity using machine learning approaches
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
Machine learning for multi-jurisdictional optimal traffic corridor control
The Utilization of Virtual Laboratory in Learning: A Meta-Analysis
Gea2: a Serious Game for Technology Enhanced Learning in STEM
New reinforcement learning algorithm for robot soccer
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Quasi revenue-neutral congestion pricing in cities: Crediting drivers to avoid city centers
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
An experimental study on visual tracking based on deep learning
Semisupervised fault diagnosis of aeroengine based on denoising autoencoder and deep belief network
PENGEMBANGAN MEDIA PEMBELAJARAN RODA PUTAR FISIKA UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA
Toward Developing Intelligent Mobile Obe System In Higher Learning Institution
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models