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Multi-agent reinforcement learning for autonomous vehicles: a survey
Traffic Signal Switching Strategy Based on Reinforcement Learning Algorithm
Anwendung des Gesamtkonzeptes am Beispiel des Karosseriebaus
Histopathological Colorectal Cancer Image Classification by Using Inception V4 CNN Model
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Towards Ontology-Guided Learning for Shepherding
Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods
Driver Drowsiness Detection for Road Safety Using Deep Learning
Towards Dynamic Obstacle Avoidance for Robot Manipulators with Deep Reinforcement Learning
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
In-Hand Manipulation of Unseen Objects Through 3D Vision
Traffic Rule Violation Detection System: Deep Learning Approach
Optimal Impulsive Maneuver Planning for Station Acquisition of Geosynchronous Satellites
Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers
Multi-agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems
Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving
A Unified System for Crop Yield Prediction, Crop Recommendation, and Crop Disease Detection
ML of Choosing: Architecting Intelligent Choice Framework
Artificial Intelligence Empowered Models for UAV Communications
From Classroom to Learning Environment
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
Iterative Adaptive Critic Control Towards an Urban Wastewater Treatment Plant
Pedestrian Collision Avoidance Using Deep Reinforcement Learning
MUSAL: Active Deep Learning Method Integrating Multiple Uncertainty Strategies for Classification
A Brief Survey of Sim2Real Methods for Robot Learning
Multi-agent Task Coordination Method Based on RCRS
Sensitivity Analysis and Optimization for a Trainer Aircraft Configuration
Explainable AI in ITS: Ethical Concerns
Deep Learning Based Object Detection on Gas Cylinders
Scanning Technologies for Autonomous Systems
Modeling of the Learning Curve Corresponding to the Transit Through the New Expanded Panama Canal
An Overview of Real-Time Traffic Sign Detection and Classification
Chesscards: Making a Paper Chess Game with Primary School Students, a Cooperative Approach
Towards Learning by Demonstration for Industrial Assembly Tasks
Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning