Abstract: In robotic assembly, environmental stiffness critically governs contact force responses. Conventional compliance control methods exhibit limited adaptability, stability, and generalization ...
Abstract: Cryptocurrency markets are highly volatile and sentiment-driven, posing challenges to traditional forecasting methods. This paper presents Hard and Soft Information Fusion (HSIF), a novel ...
Efficient Channel Attention-Gated Graph Transformer for Aero-Engine Remaining Useful Life Prediction
The rapid technological progress in recent years has driven industrial systems toward increased automation, intelligence, and precision. Large-scale mechanical systems are widely employed in critical ...
Generate realistic market scenarios via federated learning without centralizing sensitive data, enabling stress testing and risk analysis while preserving privacy. Lightweight, CPU-friendly framework ...
LightZero is a lightweight, efficient, and easy-to-understand open-source algorithm toolkit that combines Monte Carlo Tree Search (MCTS) and Deep Reinforcement Learning (RL). For any questions about ...
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