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Maschinelles Lernen
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Survey on decentralized congestion control methods for vehicular communication
Multi-labeled Random-forest Enabled Softwarized Management for Photonics Switching Systems
Comparing Deep Reinforcement Learning Algorithms Ability to Safely Navigate Challenging Waters
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†
Deep lidar CNN to understand the dynamics of moving vehicles
Human-Like room segmentation for domestic cleaning robots
Detection and classification of vehicle types using machine learning technology
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
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
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies