New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...

Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Abstract: Heart attacks are a prominent source of morbidity and mortality globally, demanding the development of precise and efficient predictive models for early identification and risk ...

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The COVID-19 pandemic proved to be a major public health challenge that had an ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

The study addressed the challenge of predicting cancer therapy-related cardiac dysfunction (CTRCD), which the researchers noted "remains a challenge." According to the research paper, which was ...