FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
From left, UVA’s Scott Doney and Kazlin Mason and UVA Wise’s Donald W. Sorah Jr. are among the 12 winners of the State ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
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