Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization development and accelerates model parameter extraction for advanced nodes, ...
Variable flux permanent magnet machines represent a dynamic class of electrical machines in which the air-gap magnetic flux can be actively adjusted during operation. This flexibility permits improved ...
Abstract: In this paper, the synchronous reluctance machine (SynRM) based on a hybrid material rotor core (Hybrid core) is proposed, whose innovative rotor structure is designed using a combination of ...
Abstract: Permanent magnet synchronous machine (PMSM) drives have emerged as one of the most preferred electric drives for industrial applications owing to their distinguished advantages, such as high ...
Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
You will be redirected to our submission process. The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to unravel the complexity ...
Objectives: The detection of lung cancer at its early stages remains essential for better survival outcomes, but current diagnostic approaches show limited sensitivity and often suffer from poor ...
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