The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
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, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...
ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...
Background: Eye-tracking technology has proven to be a valuable tool in detecting visual scanning patterns associated with autism spectrum disorder (ASD). Its advantages in easily obtaining reliable ...
Backgrounds: Asthma and ulcerative colitis (UC) are chronic inflammatory diseases linked through the “gut-lung axis,” but their shared mechanisms remain unclear. This study aims to identify common ...
Passports are often the key to unlocking secret ownership of offshore companies and trusts, but finding them among millions of leaked documents can be challenging. This tool partly automates the ...
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