Abstract: This paper introduces a novel bi-level multi-objective optimization framework designed for decision-making under hybrid uncertainty, where system constraints account for both intuitionistic ...
A hybrid geothermal-biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...
Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
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