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A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines
Intelligent Classification of Automotive Horn Sound Quality
Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
Part Two: Neural Network Controller for Hydrogen-CNG Powered Vehicle
Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Reconstruction and prediction of the rotor wake flow field in hovering state
Cooperative pursuit with multiple pursuers based on Deep Minimax Q-learning
Predicting passenger satisfaction in public transportation using machine learning models
LSTM-oriented Handover Decision-making with SVR-based Mobility Prediction in 5G Vehicular Networks
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Reinforcement Learning Based Parking Space Egress for Autonomous Driving
STD-Yolov5: a ship-type detection model based on improved Yolov5
An automatic methodology to measure drivers’ behavior in public transport
Development & Testing of a Camera-Based Driver Monitoring System
A novel inverse design method for morphing airfoil based on deep reinforcement learning
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
Simulation of supersonic axisymmetric base flow with a data-driven turbulence model
Multi-agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems
Semantic-fused multi-granularity cross-city traffic prediction
Computer Vision-Based Intelligent Traffic Surveillance: Multi-Vehicle Tracking and Detection
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models