Learn how to implement the Adam optimization algorithm from scratch in Python! This step-by-step guide breaks down the math, ...

Abstract: Large-scale constrained multiobjective optimization problems (LSCMOPs) exist widely in science and technology. LSCMOPs pose great challenges to algorithms due to the need to optimize ...

TORONTO — The Dodgers might be baseball’s version of an all-powerful Death Star. But as the raucous World Series opener in Toronto showed, they too were built with a fatally exploitable weakness.

Aqueous extraction processing (AEP) and aqueous enzymatic extraction (AEE) were optimized and scaled up for macauba pulp oil recovery. Initially, the process parameters were evaluated on a laboratory ...

Add a description, image, and links to the carbon-capture-sequestration topic page so that developers can more easily learn about it.

School of Environmental Science and Engineering/Tianjin Research Center for Safe Disposal of Organic Solid Waste and Energy Utilization Engineering, Tianjin University, Tianjin 300072, China ...

Reinforcement learning with verifiable rewards (RLVR) has advanced the reasoning capabilities of large language models (LLMs). However, prevailing RLVR methods exhibit a systematic bias toward ...

Abstract: This study was conducted on how to optimize the basic design of a cast resin transformer using the scipy method of Python and the permutation with repetition method. All possible design ...