Abstract: This article proposes a hybrid network model for prediction of permanent magnet (PM) eddy current loss considering eddy current reaction field and pulsewidth modulation (PWM) effects of a PM ...
Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.
Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Abstract: This article proposes a quantum spatial graph convolutional neural network (QSGCN) model that is implementable on quantum circuits, providing a novel avenue to processing non-Euclidean type ...