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Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
An Agent-Based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
A Review on Behavioural Biometric GAIT Recognition
Object Detection and Pattern Analysis in an Autonomous Car
A Study on Web2.0 Blending Learning
Modeling Human Motor Skills to Enhance Robots’ Physical Interaction
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Multi-agent reinforcement learning for autonomous vehicles: a survey
Towards Ontology-Guided Learning for Shepherding
Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers
Traffic Rule Violation Detection System: Deep Learning Approach
Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
ML of Choosing: Architecting Intelligent Choice Framework
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Explainable AI in ITS: Ethical Concerns