Long before social media feeds or targeted ads, my mother used to say that life tends to show you the thing you're looking for. Or the thing you're afraid of. Or the thing you keep insisting you don't ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...
Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in ...
Introduction: Crop maturity status recognition is a key component of automated harvesting. Traditional manual detection methods are inefficient and costly, presenting a significant challenge for the ...
Abstract: A novel algorithm based on fractional Fourier circular convolution theorem is proposed to deal with the fractional linear convolution, which is in accordance with the hidden periodicity of ...
Abstract: A new, computationally efficient, algorithm for linear convolution is proposed. This algorithm uses an N point instead of the usual 2N-1 point circular convolution to produce a linear ...
Using a convolution neural network algorithm, this automated external defibrillator device enters the challenging field to improve bystander defibrillation, the detection of a shockable rhythm, and to ...
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