If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Artificial intelligence is racing toward 2026 with a mix of promise and dread, and the scariest predictions are no longer ...

Department of Cardiology, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China Aims: Cardiovascular disorders, particularly heart failure (HF), are a critical global ...

Abstract: When the heart is unable to pump blood as effectively as it ought to, heart failure occurs. Breathing difficulty is frequently brought on by this because blood frequently backs up and fluid ...

illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction. A ...

Background: Accurate prediction of kidney graft failure at different phases post-transplantation is critical for timely intervention and long-term allograft preservation. Traditional survival models ...

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...