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Maschinelles Lernen
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Using ultrasound images of the forearm to predict finger positions
Gaussian process regression for forecasting battery state of health
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Radar Waveforms and Their Mathematical Models
Machine learning approaches for detection of robot errors in human brain signals
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Studying the capabilities of the analytical system based on the machine learning method
Vehicular Networks and Autonomous Driving Cars
Target Recognition and Classification Techniques
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
How machine learning informs ride-hailing services: A survey
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Combining learning and structure for robotic manipulation
Real-Time Traffic Sign Detection Under Foggy Condition
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Latent State-Space Models for Control
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation