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The Causality for Climate Challenge
Examining optoelectronics in machine vision and applications in industry 4.0
AI-based Wave Prediction in Complex Plasmas
A data-driven dynamics simulation framework for railway vehicles
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Prediction of finger movements using ultrasound images
Machine learning approaches for detection of robot errors in human brain signals
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Research on the air brake system of heavy haul trains based on neural network
Data-driven train set crash dynamics simulation
Data-driven train set crash dynamics simulation
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Surface EMG for Force Control of Mechanical Hands
Combining learning and structure for robotic manipulation
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
Latent State-Space Models for Control
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Adaptive human-robot policy blending for shared control teleoperation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery