Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification A Case Study for COVID-19

Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification A Case Study for COVID-19

Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of cutting-edge deep learning for precise image d...

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Bibliographic Details
Main Authors: Ku Muhammad Naim, Ku Khalif, Seng, Woo Chaw, Gegov, Alexander, Ahmad Syafadhli, Abu Bakar, Nur Adibah, Shahrul
Format: Article
Language:English
Published: MDPI AG 2024
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40169/
http://umpir.ump.edu.my/id/eprint/40169/1/Integrated%20Generative%20Adversarial%20Networks%20and%20Deep%20Convolutional%20Neural%20Networks%20for%20Image%20Data%20Classification%20A%20Case%20Study%20for%20COVID-19.pdf

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http://umpir.ump.edu.my/id/eprint/40169/
http://umpir.ump.edu.my/id/eprint/40169/1/Integrated%20Generative%20Adversarial%20Networks%20and%20Deep%20Convolutional%20Neural%20Networks%20for%20Image%20Data%20Classification%20A%20Case%20Study%20for%20COVID-19.pdf

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