Image encryption techniques are broadly used to protect confidential images during transmission and storage. However, conventional image encryption techniques typically produce noisy ciphertext images ...
1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
Textile pilling is a persistent issue that results in an unattractive surface on garments, impacting their aesthetic and commercial value. This study employs image processing and machine learning ...
You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...
Abstract: This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation ...
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
Prediction of response to Repetitive Transcranial Magnetic Stimulation (rTMS) can build a very effective treatment platform that helps Major Depressive Disorder (MDD) patients to receive timely ...
A magnetic fluid seal is often used in complex working conditions with harsh environmental requirements. Timely and accurate identification of the seal status can help avoid the major economic losses ...
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China ...
During the recent decade, deep learning technology, particularly deep neural network (DNN), has gained tremendous popularity in various fields including signal processing (SP). As a data-driven ...
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