Explainable COVID-19 detection based on chest x-rays using an end-to-end RegNet architecture

M Chetoui, MA Akhloufi, EM Bouattane, J Abdulnour… - Viruses, 2023 - mdpi.com
COVID-19, which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2), is one of the worst pandemics in recent history. The identification of patients …

Enhancing e-Commerce Strategies: A Deep Learning Framework for Customer Behavior Prediction

YD Al-Otaibi - Engineering, Technology & Applied Science Research, 2024 - etasr.com
Today, the use of artificial intelligence (AI) to enhance the processes of online shopping is
crucial for e-commerce as it uses the past purchasing behavior of customer-automated …

Deciphering the Complexities of COVID‐19‐Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework

N Benameur, A Sassi, W Ouarda… - … Journal of Imaging …, 2024 - Wiley Online Library
The literature has widely described the interaction between cardiac complications and
COVID‐19. However, the diagnosis of cardiac complications caused by COVID‐19 using …

[PDF][PDF] Deep Learning Model for COVID-19 Classification Using Fine Tuned ResNet50 on Chest X-Ray Images

O Dokun, AM John-Otumu, UF Eze, C Ikerionwu… - Machine …, 2024 - researchgate.net
Amid the COVID-19 pandemic, extensive research has focused on deep learning
methodologies for accurately diagnosing the virus from chest X-ray images. Various models …

7 Quantum transfer learning to detect passive attacks in SDN-IOT

S Karthik, RM Thenmozhi, T Sumathi - Quantum-Safe Cryptography …, 2023 - degruyter.com
An attack on the network presents a potential risk to the integrity of the network security,
which may or may not occur. As the field of quantum machine learning has made rapid …