Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted, severe fibrosis and cirrhosis can be prevented. While liver biopsies, the ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully developed a "self-evolving" edge AI technology that enables real-time learning and ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices. Remote sensing and proximal ...

Immunotherapy has transformed the treatment landscape for lung cancer, offering significant survival benefits for patients with advanced disease. Immune checkpoint inhibitors, such as PD-1 and PD-L1 ...

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...