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learning
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keywords:(learning)
Computers and railroad history: an essay on historical opportunities
Computing Remaining Fatigue Life Under Incrementally Updated Loading Histories
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Containerization Approach for High-Fidelity Terramechanics Simulations
Controller design for quadrotor UAVs using reinforcement learning
Controlling LED Based Adaptive Front-Lighting System Using Machine Learning
Control Model of Automated Driving Systems Based on SOTIF Evaluation
Coordinated EV Charging Based on Charging Profile Clustering and Rule-Based Energy Management
Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning
Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning
Criticality labeling via optimal control and machine learning in automotive active safety
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Cyber Threats and Its Mitigation to Intelligent Transportation System
Data-driven train set crash dynamics simulation
Data mining for quality control: Burr detection in the drilling process
Data Synthesis Methods for Parking-Slot Detection
Decisions in Highly Automated Vehicles for Passing Urban Intersections with Support Vector Machines
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition
Deep Double Q-Learning Method for CAVs Traffic Signal Control
Deep Generative Design Models for Improved Door Frame Performance
Deep learning and big data for intelligent transportation : enabling technologies and future trends
Deep Learning Based Automotive Requirements Analysis
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Deep learning for autonomous vehicle control : algorithms, state-of-the-art, and future prospects
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
Deep learning methods for automotive radar signal processing
Deep learning methods for automotive radar signal processing
Deep learning of user behavior in shared spaces
Deep learning of user behavior in shared spaces
Deep Multitask Learning for Railway Track Inspection
Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach
Deep Reinforcement Learning als Basis für das Hybridfahrzeug-Energiemanagement
Deep reinforcement learning-based energy management for hybrid electric vehicles