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 ...
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 the ...
Abstract: The Fast Fourier Transform (FFT)-based convolution is the most popular fast convolution algorithm. In past work, we developed the Discrete Hirschman Transform (DHT)-based convolution. When ...
ABSTRACT: The objective of this work is to determine the true owner of a landâpublic or privateâin the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
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 ...
Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
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 ...
Diagnosis of shockable rhythms leading to defibrillation remains integral to improving outâofâhospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
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