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Abstract: Today’s industrial production models are becoming increasingly complex. Jobs of the same type are usually divided into groups for machining. Factories are often designed in a distributed ...

Abstract: Community coding algorithms have these days been applied to cell Wi-Fi networks to improve system performance. Those algorithms permit efficient record transfer and minimize the effect of ...

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...