Abstract: Underwater detection networks (UDN) are extensively employed in scenarios such as marine environmental monitoring and seabed resource exploration. In general, to achieve higher network ...

Abstract: Conventional negative selection algorithms generate candidate detectors randomly, leading to unstable detector distribution, high redundancy, and severe overlap, which significantly ...

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 ...