Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian ...
Introduction Cigarette smoking continues to exert a major impact on morbidity and mortality. We aim to provide robust ...
Against the backdrop of global energy transition, smart grids have become pivotal yet face challenges in resilience, security, stability, and market ...
Abstract: The annual compliance cycle of the carbon trading system allows generation companies (GenCos) to decouple the timing of carbon allowance purchases from their actual emissions. However, ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
The assessment of inter-state conflict risk involves complex multi-domain interactions and dynamic evolutionary characteristics, presenting substantial challenges to conventional risk evaluation ...
Abstract: Stunting remains a critical public health challenge, particularly in developing nations where nutritional deficits among children are prevalent. This paper presents a goal programming model ...
OptiMind is a specialized language model that translates natural-language problem descriptions directly into solver-ready mathematical optimization formulations. This removes one of the most expertise ...
Large Language Models (LLMs) have advanced in mathematical reasoning but still struggle with precise computation and symbolic manipulation. THOR (Tool-Integrated Hierarchical Optimization via RL) ...
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