An intelligent wireless channel corrupted image-denoising framework using symmetric convolution-based heuristic assisted residual attention network-Reference-Cited by-同舟云学术

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An intelligent wireless channel corrupted image-denoising framework using symmetric convolution-based heuristic assisted residual attention network

Published:2024-05-14 Issue: Volume: Page:1-34
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Mala Sreedhar¹,Kukunuri Aparna²

Affiliation:

1. ECE, Jawaharlal Nehru Technological University Anantapur, Anantapur, Andhra Pradesh, India

2. ECE Department, JNTUA College of Engineering, Constituent college of Jawaharlal Nehru Technological University Anantapur, Anantapur, Andhra Pradesh, India

Funder

the work featured in this article

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2350578

Reference49 articles.

1. The Arithmetic Optimization Algorithm

2. Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization

3. Deep-Learning-Based Fast Optical Coherence Tomography (OCT) Image Denoising for Smart Laser Osteotomy

4. Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques

5. Boletsis C, Lie A, Prillard O, Husby K. 2023. The InVizAR project: augmented reality visualization for non-destructive testing data from jacket platforms. In: 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Conference (VISIGRAPP).

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