Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
In one instance, to further enhance output voltage swing and linearity, the authors propose a novel “breakdown-voltage (BV) ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Background Previous studies have suggested an adverse role of epicardial adipose tissue (EAT) in aortic stenosis (AS), ...