A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19 (vol 78, pg 10250, 2022)

Journal article

Open access

Peer reviewed

Md Raful Hassan, Walaa N. Ismail, Ahmad Chowdhury, Sharara Hossain, Shamsul Huda and Mohammad Mehedi Hassan

The Journal of supercomputing

07/02/2023

PMID: 36779081

Abstract

Computer Science

Computer Science, Hardware & Architecture

Computer Science, Theory & Methods

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

url

https://doi.org/10.1007/s11227-023-05063-zView

Published (Version of record) Open

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Title: A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19 (vol 78, pg 10250, 2022)
Creators - without role: Md Raful Hassan - University of Maine at Presque Isle
Walaa N. Ismail - Minia University
Ahmad Chowdhury - Product Innovation and Engineering (United States, Saint James) - LLC
Sharara Hossain - March of Dimes Canada
Shamsul Huda - Deakin University
Mohammad Mehedi Hassan - King Saud University
Publication Details: The Journal of supercomputing
Publisher: Springer Nature
Number of pages: 2
Identifiers: 9914206908331
Academic Unit: Al-Yamamah University
Language: English
Resource Type: Journal article