And those who rarely used a procedural algorithm were significantly more likely to succeed on problem-solving questions. If you're enjoying this article, consider supporting our award-winning ...
Abstract: Conventional model-based probabilistic inference methods require increasingly complex models to improve Electric Vehicle (EV) battery State of Charge (SOC) estimation. Deep learning methods ...
Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...
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