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

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...

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

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

Japanese carrier All Nippon Airways has implemented a turbulence-prediction service based on artificial intelligence, following several years of testing and validation. ANA and Keio University formed ...

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

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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