Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Traffic Flow Prediction Based on Cooperative Vehicle Infrastructure for Cloud Control Platform
Static Targets Recognition and Tracking Based on Millimeter Wave Radar
Input-Decoupled Q-Learning for Optimal Control
Learning curve analysis of concentrated photovoltaic systems
Deep learning and big data for intelligent transportation : enabling technologies and future trends
Driver Identification Using Multivariate In-vehicle Time Series Data
Deep reinforcement learning-based energy management for hybrid electric vehicles
Deep learning of user behavior in shared spaces
Deep learning of user behavior in shared spaces
Learning Framework for Robust Obstacle Detection, Recognition, and Tracking
Dynamic Walking on Stepping Stones with Gait Library and Control Barrier Functions
A novel passenger flow prediction model using deep learning methods
Scour Depth Evaluation of a Bridge with a Complex Pier Foundation
Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies
Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Towards Semi-Supervised Causal Open Set Recognition
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
A self-learning system for local ramp metering with queue management
Intelligent Classification of Automotive Horn Sound Quality
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Toward a Framework for Highly Automated Vehicle Safety Validation
Aeroengine Gas Path Parameter Trend Prediction Based on LSTM
A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence
Human-robot interaction control using reinforcement learning
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Catalyst Design Study of Detailed Reaction Model including Gas Diffusivity into the Washcoat
Identification of Driver’s Braking Intention in Cut-In Scenarios
Dynamic Load Identification for Battery Pack Bolt Based on Machine Learning