Scientists have discovered a revolutionary new method for creating quantum states by twisting materials at the M-point, revealing exotic phenomena previously out of reach. This new direction ...

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Muscle force and joint kinematics estimation from surface electromyography (sEMG) are essential for real-time biomechanical analysis of the dynamic interplay among neural muscle stimulation, muscle ...

Although various machine learning-based methods have been proposed for condition monitoring in power elec-tronics, they are challenging to be implemented in practice due to the accuracy, data ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

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A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on Physics-Informed Machine Learning (PIML) and Physics-Informed ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and machine learning (ML) are making waves with how they're increasing ...