Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

Remarkable Achievement by Guwahati Student Huma Abia Kanta, a Class XII student from Royal Global School in Guwahati, Assam, ...

Advanced UAV sensor integration and machine learning may improve corn AGB predictions, providing scalable solutions for ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

What if we told you that the secret to healthier soil, cleaner ecosystems, and smarter farming isn't buried in a high-tech lab—but hidden in the data ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

The effectiveness of eye-tracking technology in identifying people who have a genetic tendency to Alzheimer's disease, years before their symptoms show, has been highlighted in new research.

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...