A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IOP Publishing (IOPP) launched a series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the sciences. The new ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organizations flag more phishing sites before ...
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
IOP Publishing (IOPP) is launching the world's first series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the ...