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Maschinelles Lernen
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Research on the Application of Machine Learning Algorithm and Fuzzy Logic in Eating Assistive Robot
Survey on decentralized congestion control methods for vehicular communication
Comparing Deep Reinforcement Learning Algorithms Ability to Safely Navigate Challenging Waters
Detection and classification of vehicle types using machine learning technology
Deep lidar CNN to understand the dynamics of moving vehicles
Multi-labeled Random-forest Enabled Softwarized Management for Photonics Switching Systems
Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks
A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Vehicles
Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models
Computer Vision Solutions for Range of Motion Assessment
Virtual sensing and sensors selection for efficient temperature monitoring in indoor environments†
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
Robot-human-learning for robotic picking processes
Robot-human-learning for robotic picking processes