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

• 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/40169/1/Integrated%20Generative%20Adversarial%20Networks%20and%20Deep%20Convolutional%20Neural%20Networks%20for%20Image%20Data%20Classification%20A%20Case%20Study%20for%20COVID-19.pdf; http://umpir.ump.edu.my/id/eprint/40169/; https://doi.org/10.3390/info15010058

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...