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Learning fuzzy rules with tabu search-an application to control
Research on the air brake system of heavy haul trains based on neural network
Lane change intent analysis using robust operators and sparse Bayesian learning
Robust multi-task learning and online refinement for spacecraft pose estimation across domain gap
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen
Dynamic construction of routine patterns for transport vehicles based on ant colony system
Data-driven train set crash dynamics simulation
Application of Online Iterative Learning Tracking Control for Quadrotor UAVs