The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, and early fraud prevention. The study identifies a clear shift from manual ...

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...

Introduction: Surgery remains a cornerstone in lung cancer treatment, yet a subset of patients face high risks of recurrence or mortality postoperatively. Poor prognosis significantly shortens ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Abstract: A global public health concern that impacts not just the impoverished but also rich populated countries is anemia. It's an international concern for public health assurance. Although its ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

Abstract: The inadequate sampling technique that focusses on the bio-inspired technique and collaborative learning is proposed for the purpose of addressing class disparities while dealing with ...