The research highlights that energy–food market connectedness is highly crisis-sensitive, expanding dramatically during ...

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 ...

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

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

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

Society and Environment is the first to use AI to combine two types of satellite imagery to detect the location, thickness ...

In a remarkable feat that underscores the power of purposeful innovation in healthcare, HealthServ Los Baños Medical Center, an affiliate of the Mount Grace Hospitals Network, earned the Gold Award in ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

DenseWolf-K, a hybrid AI framework, achieved 99.64% accuracy in brain tumour MRI classification, revolutionising medical ...

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

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

In a proud moment for Assam and the entire Northeast, 16-year-old Huma Abia Kanta, a class 12 student of Royal Global School, ...