Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

Machine learning's transformative shift mirrors the MapReduce moment, revolutionizing efficiency with decentralized consensus ...

Abstract: This paper proposes a bio-inspired evolutionary computational algorithm for structure topology optimization. It integrates the merits of evolutionary structure optimization and level set ...

Organellar genomes of plants are semi-autonomous genetic systems housed within chloroplasts and mitochondria and provide key data in deciphering the plant tree of life, adaptive evolution, and ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

For almost half the history of life on Earth, the complexity of all organisms was limited to that of simple prokaryotic cells such as contemporary bacteria. The process by which genes are activated, ...