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A deep learning based traffic crash severity prediction framework
Application of time-variant predictive control to modelling driver steering skill
Pragmatic Frames for Teaching and Learning in Human-Robot interaction: Review and Challenges
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
IMPLEMENTATION OF MOBILE VIRTUAL LABORATORY: CONTRIBUTORY FACTORS IN A DEVELOPING COUNTRY
FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Input-Decoupled Q-Learning for Optimal Control
Input-Decoupled Q-Learning for Optimal Control
Construction of A Mobile Learning Environment Based on Complex Network
Teaching College Classes with Virtual Reality
Preceding vehicle following algorithm with human driving characteristics
Learning curve analysis of concentrated photovoltaic systems
Transferability improvement in short-term traffic prediction using stacked LSTM network
Anomalous ride-hailing driver detection with deep transfer inverse reinforcement learning
Unlabeled scene adaptive crowd counting via meta-ensemble learning
Learning efficient haptic shape exploration with a rigid tactile sensor array
A feature learning approach based on XGBoost for driving assessment and risk prediction
Exploiting symmetries in reinforcement learning of bimanual robotic tasks
Comparison of benchmarking algorithms in Prosthesis
Controlling Signalized Intersections using Machine Learning
A novel passenger flow prediction model using deep learning methods
A novel passenger flow prediction model using deep learning methods
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Odor supported place cell model and goal navigation in rodents
Reward-based epigenetic learning algorithm for a decentralised multi-agent system
OrthographicNet:A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains
Modular Reinforcement Learning for Autonomous UAV Flight Control
Innate heuristics and fast learning support escape route selection in mice
Teaching Human Poses Interactively to a Social Robot
Region-Aware Hierarchical Graph Contrastive Learning for Ride-Hailing Driver Profiling
Highway crash detection and risk estimation using deep learning
A methodology to evaluate driving efficiency for professional drivers based on a maturity model
CryptoKnight:generating and modelling compiled cryptographic primitives
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Few-Shot traffic prediction based on transferring prior knowledge from local network
Real-world ride-hailing vehicle repositioning using deep reinforcement learning
ResLogit: A residual neural network logit model for data-driven choice modelling