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A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
GIS-based ensemble soft computing models for landslide susceptibility mapping
The Causality for Climate Challenge
A tropical Atlantic dynamics analysis by combining machine learning and satellite data
Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Network Control Systems for Large-Scale Constellations