Abstract: In this paper, we propose a novel backpropagation algorithm for delay-Doppler (DD) sensing using Zak transform-based orthogonal time frequency space (OTFS) modulation. We present the system ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from various types of data, be it images, audio or text, to ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

A.I. has yet to upend Hollywood. But it is starting to make big inroads in animation. The founders of Toonstar, a small animation studio in downtown Los Angeles, have incorporated A.I. at various ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...