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.
Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...
Abstract: This study evaluates the performance of using machine learning models; J48 and Random Forest to classify bananas quality. The existing methods of visual inspection are qualitative and take ...
In the wake of Anthropic’s $1.5 billion copyright settlement, the AI industry is coming to terms with its training data problem. There are as many as 40 other pending cases that seek damages for ...
On a breezy San Francisco afternoon last Saturday, I found myself at a nondescript coworking space filled with shoeless coders. Just over a hundred visitors had crowded into an office building in the ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
In this video, we conduct random machine shop tests using a stun gun, examining the damage it can cause to both human skin and electronic devices. Failed New Zealand scheme is cautionary tale for ...
In this video, we explore the effects of compressed air by conducting several experiments with 8 cans of canned duster. We attempt to freeze a lock, hair, soda, and a banana, and cut one can to ...
As rates of depression and suicide in youth spike, experts are asking whether social media makes kids depressed — or whether depressed kids simply spend more time on social media? A new study provides ...
For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results