Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Individual mammalian cells contain billions of protein molecules, which must be synthesized, deployed, and removed with ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

PRNewswire/ - One year after the Palisades and Eaton fires devastated Los Angeles County, a new analysis of 11.8 million California residential properties finds that approximately $1 trillion in ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...

Abstract: This study proposes a principal component analysis (PCA) based denoising scheme for global navigation satellite system reflectometry (GNSS-R) delay Doppler map (DDM) based sea ice ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

This capstone project analyzes SpaceX Falcon 9 launch data to predict first stage landing success using machine learning. The project covers the complete data science lifecycle: data collection, ...