This paper presents the design and evaluation of a new axial-flux low-speed and high-torque matrix-rotor induction machine. Iron wires embedded in a cupper matrix comprise the solid rotor structure.

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

A summary of the principles and actions that have emerged from the Brazilian Computing Society's global climate change task force, focusing on the importance of computing in addressing sustainability ...

In recent years, machine learning methods has been widely used in various fields, such as finance, spatial sciences, smart grid, intelligent transportation, renewable energy, agriculture, especially ...