Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY ...

Artificial intelligence (AI) is rapidly transforming the way we work. While AI is impacting many traditional jobs, it is also creating new and better career opportunities. Understanding this need, the ...

Every year, the video game industry gets a little harder to predict. With mass layoffs that upend studios and leave major games canceled, you never really know how exactly a year is going to shake out ...

In order to solve the problems of physical model simplification error, insufficient fusion of multi-source monitoring data, and low accuracy of life prediction in traditional CNC machine tool life ...

This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...