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Game Theory-Based Lane Change Decision-Making Considering Vehicle’s Social Value Orientation
Application of Machine Learning in Generating Load Profile Transitions for a Gear Pair
Departure Flight Delay Prediction and Visual Analysis Based on Machine Learning
Deep Self-Supervised Learning Models for Automotive Systems
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Remaining Useful Life Prediction of Lithium-ion Battery Based on Data-Driven and Multi-Model Fusion
Intelligent ship control with online learning ability
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
Optimierung der Verfügbarkeit und des Aufwands von Kfz-Bordnetzen mit Hilfe der Neuro-Fuzzy-Methode
The Detection of Visual Distraction using Vehicle and Driver-Based Sensors
Gaussian process regression for forecasting battery state of health
Predictive Modeling of Aircraft Dynamics Using Neural Networks
Autonomous Quadcopter for Building Construction Monitoring
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Student conceptions of feedback: Impact on self‐regulation, self‐efficacy, and academic achievement
A method of optimal shift control based on pattern recognition and learning algorithm
Children's science learning: A core skills approach
Hypothesis generation strategies for adaptive problem solving (spacecraft mission control)
Detecting hidden targets: a procedure for studying performance in a mine-detection-like task
Failure Prediction for Robot Reducers by Combining Two Machine Learning Methods
Projektausbildung in der Berufsausbildung
Reinforcement Learning Technique for Parameterization in Powertrain Controls
Improved classification of surface defects for quality control of car body panels
THC Concentration Estimation Model using FTIR Spectrum
The path inference filter: Model-based low-latency map matching of probe vehicle data
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
A Comparative Study of Recurrent Neural Network Architectures for Battery Voltage Prediction
Task segmentation - an approach to simulator task fidelity
Systematische Wissensvermittlung mit neuen Medien in der Fortbildung
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
No Cost Autonomous Vehicle Advancements in CARLA through ROS
Play or learn: European‐American and Chinese kindergartners' perceptions about the conflict
The POP learning algorithms: reducing work in identifying fuzzy rules
Chancen für die Zukunft durch Bildung
Deep Double Q-Learning Method for CAVs Traffic Signal Control