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Traffic Lights Control Using Reinforcement Learning: A Comparative Study
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field
Path Planning Method for Unmanned Aerial Vehicle Based on Signal Reception Strength
An Energy Management Strategy for Traction Substation with ESS Based on Reinforcement Learning
Adaptive Traffic Control Using Cooperative Communication Through Visible Light
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Learning motion skills for a humanoid robot
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Sampling-based exploration strategies for mobile robot autonomy
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints
Improving Unmanned Panoramic Perception Algorithm of DAFPN-YOLO
Detection of Motorcycle Headlights Using YOLOv5 and HSV
Research on Target Tracking Technology of UAV in Distribution Network Based on Deep Learning
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Traffic Signal Optimization Method for Urban Intersections with Low Fuel Consumption
Overview of Catenary Detection of Electrified Railways
Driving Behavior Analysis Using Deep Learning on GPS Data
Catenary Support Components and Their Characteristics in High-Speed Railways
A Novel Air-Ground Coordinated Approach for UAV Autonomous Landing on a Mobile Platform
Intelligent System for Railway Joint Diagnostics
Recognition of UAV Image Transmission Signal via Deep Learning Methods
Vehicle detection systems for intelligent driving using deep convolutional neural networks
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Vehicle Detection in Indian Traffic Using an Anchor-Free Object Detector
Traffic Sign Detection and Recognition Using Deep Learning Approach
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Latent State-Space Models for Control
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation