As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power ...

Hariprasad Sivaraman, USA Cloud platforms have become the foundation of modern digital infrastructure, supporting businesses, applications, and services at an unprecedented scale. However, ensuring ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

Google will soon use machine learning to estimate the age of its users. In an update on Wednesday, Google said it’s testing a ...

Researchers from the Data Science and Artificial Intelligence Institute (DATAI) of the University of Navarra (Spain) have ...

Artificial Intelligence (AI) has transformed industries, making processes more intelligent, faster, and efficient. The data ...

This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning 🚀 You can keep up to date by ...

Abstract: This paper aims to address the issue of low accuracy in underwater Direction of Arrival (DOA) estimation using Deep Learning (DL) methods, which arises due to the scarcity of underwater data ...

Abstract: Snow cover is essential for the hydrological cycle and ecological balance of the Tibetan Plateau (TP). The Normal-ized Difference ... and clas-sification accuracy of our method. Results ...