This article is devoted to the development of a classification method based on an artificial
neural network architecture to solve the problem of recognizing the sources of acoustic …

Face recognition techniques have been widely employed in real-world biomimetics
applications. However, traditional approaches have limitations in recognizing faces correctly …

Convolutional neural networks (CNNs) have proven to be a very efficient class of machine
learning (ML) architectures for handling multidimensional data by maintaining data locality …

The purpose of this work is to increase the security of the perimeter of an area from
unauthorized intrusions by creating an improved algorithm for classifying acoustic impacts …

Convolutional Neural Networks (CNNs) are a kind of artificial neural network designed to
extract features and find out patterns for tasks such as segmentation, recognizing objects …

Quantum computing (QC) has opened the door to advancements in machine learning (ML)
tasks that are currently implemented in the classical domain. Convolutional neural networks …