Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...