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Spielebasiertes Training gestalten und integrieren. Eine Fallstudie aus der Automobilmontage
A Numerical Methodology for the Multi-objective Optimization of the DI Diesel Engine Combustion
Learning IPM - a driving strategy for hybrid electric vehicles learns its lessons
Reinforcement learning-enabled intelligent energy management for hybrid electric vehicles
Case-based adaptation for automotive engine electronic control unit calibration
Störungsfrüherkennung an Kreiselpumpen mit Verfahren des maschinellen Lernens
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
UUV teams, control from a biological perspective
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Evolutionary Computation Methods for Helicopter Loads Estimation
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Gaussian process regression for forecasting battery state of health
THC Concentration Estimation Model using FTIR Spectrum
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures
Simulation of Telemetry Signals of a Car Using Machine Learning
Improved classification of surface defects for quality control of car body panels
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study
Robot design for space missions using evolutionary computation
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Promoting Environmentally Benign Electric Vehicles
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
A purely reactive navigation scheme for dynamic environments using Case-Based Reasoning