Abstract: This paper presents an innovative approach to constructing a digital twin for energy storage converter control using a constrained neural network model. The proposed method incorporates ...

Abstract: Optical Neural Networks (ONNs) have attracted great attention from both academia and industry due to their distinct advantages in power consumption, parallelism, and computational speed.

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Microsoft's Digital Crimes Unit said it teamed up with Cloudflare to coordinate the seizure of 338 domains used by RaccoonO365, a financially motivated threat group that was behind a ...

A massive ad fraud and click fraud operation dubbed SlopAds ran a cluster of 224 apps, collectively attracting 38 million downloads across 228 countries and territories. "These apps deliver their ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.