In recent years, notable advances have been made in diagnosing and treating breast cancer. However, its recurrence continues ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

Abstract: Machine learning has been applied across various scientific fields and switching apparatus monitoring is no exception. Monitoring system is a crucial component of switching apparatus ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...