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Using ultrasound images of the forearm to predict finger positions
Gaussian process regression for forecasting battery state of health
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Radar Waveforms and Their Mathematical Models
Vehicular Networks and Autonomous Driving Cars
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
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
Combining learning and structure for robotic manipulation
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Real-Time Traffic Sign Detection Under Foggy Condition
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems