Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical
industry and research, where it has been utilized to efficiently identify new chemical entities …

Aquatic ecosystems are constantly changing due to anthropic stressors, which can lead to
biodiversity loss. Ocean sound is considered an essential ocean variable, with the potential …

DNA-binding proteins (DBPs) not only play an important role in all aspects of genetic
activities such as DNA replication, recombination, repair, and modification but also are used …

Whereas modern medicine has enabled humans to live longer and more robust lives, recent
years have seen a significant increase in chronic care costs. The prevention of threats to …

Abstract Background Hidden Markov models (HMM) are a powerful tool for analyzing
biological sequences in a wide variety of applications, from profiling functional protein …

Minimal absent words (MAWs) are minimal-length oligomers absent from a genome or
proteome. Although some artificially synthesized MAWs have deleterious effects, there is still …

This article studies the problem of semi-supervised learning on graphs, which aims to
incorporate ubiquitous unlabeled knowledge (eg, graph topology, node attributes) with few …

This paper presents a context-aware adaptive assembly assistance system meant to support
factory workers by embedding predictive capabilities. The research is focused on the …

Abstract Background Eating Disorders (EDs) are one of the most complex psychiatric
disorders, with significant impairment of psychological and physical health, and …

Disease classification based on machine learning has become a crucial research topic in
the fields of genetics and molecular biology. Generally, disease classification involves a …