Transfer and learning mobility in 2026 and beyond.
ABSTRACT: Backgrounds: The impact of digital image steganography (stego) and crypto-steganography (crypto-stego) on network performance has not been adequately examined. The major objective of this ...
Recent supply chain rumors have indicated that TSMC will withdraw from the gallium nitride (GaN) market, a third-generation semiconductor material, with related production lines at its Hsinchu Science ...
Members can download this article in PDF format. With the onset of artificial intelligence (AI), the scale as well as the degree of power usage in data centers continue to escalate. AI-ready data ...
Abstract: Traditional linear scaling artificial neural network (ANN)-based compact models face significant challenges in achieving high accuracy for device modeling. To overcome this limitation, a ...
Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...
ABSTRACT: Face recognition is rapidly becoming one of the most popular biometric authentication methods. Most face recognition systems are focused on extracting features and enhancing their ...
Artists like Claude Monet are recognized for the unique styles of their works, such as the unique colour scheme and brush strokes. These are hard to be imitated by normal people, and even for ...
Members can download this article in PDF format. The impetus to reduce power demands of just about every device out there is the mantra of today’s power ecosystem. Manufacturers are under tremendous ...
The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
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