A new research paper shows the approach performs significantly better than the random-walk forecasting method.

EDM (Electrical Discharge Machining) is one of those specialised manufacturing processes that are traditionally expensive and ...

The Speediance Strap is a screen-free wearable that collects data related to your sleep, training and core body temperature.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...

Joe Grantham is a contributor from the UK with a degree in Classical Studies. His love for gaming is only rivaled by a deep passion for medieval history, which often seeps into his articles. With over ...

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.