Abstract: Neural networks are a subset of the field of artificial intelligence (AI). The predominant types of neural networks used for multidimensional signal processing are deep convolutional neural ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

Abstract: In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative algorithms have emerged as the ...

This repository presents an image-based malware classification system developed. The proposed approach transforms malware binaries into grayscale images and applies Convolutional Neural Networks (CNNs ...

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Global Navigation Satellite System (GNSS) spoofing—the transmission of counterfeit signals that trick receivers into reporting false positions or ...

In 2012, a groundbreaking computer program named AlexNet dramatically advanced machine vision. This system, utilizing ...

Recently, in a lecture room at the Daegu Startup Hub in Dong-gu, Daegu, Kim Soo-pil, a senior researcher at the Daegu ...

Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...