Abstract: Artificial intelligence is widely used for image analysis, and it is beginning to be applied to visual data analysis as well. To make this process more efficient, it is essential to develop ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

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

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

Gears have powered the world for millennia, from clock machines to car engines. But miniaturizing them to microscopic dimensions has stumped engineers for decades. Anything under one-tenth of a ...

Abstract: This study provides a practical solution for predicting the drug response by constructing deep learning algorithms and risk modelling. A suitable data set that is appropriate for building ...

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...