Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Abstract: This paper focuses on the multi-objective resource allocation problem in multi-agent systems, where the objective is to find an optimal allocation policy. To solve this problem, we propose ...

Abstract: This note makes the first attempt to investigate the optimal bipartite consensus problem in the general case for heterogeneous multi-agent systems with cooperative-competitive interactions, ...