Metaverse healthcare supply chain: Conceptual framework and barrier identification

ZS Chen, JQ Ruan - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In the complex landscape of healthcare supply chains, challenges extend well beyond
internal operational concerns, necessitating innovative solutions that align with the evolving …

A Classification Framework for Diabetic Retinopathy Detection Using Transfer Learning

S Akhtar, S Aftab, M Ahmad… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy is a serious eye condition resulting from long-term diabetes mellitus
that can lead to permanent blindness if not treated on time. Early detection can reduce the …

A Transfer Learning Based Framework for Diabetic Retinopathy Detection Using Data Fusion

S Akhtar, S Aftab, M Ahmad… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Diabetic retinopathy is a condition associated with diabetes that damages the blood vessels
within the retina resulting in vision impairment or even blindness. Early detection and …

Predictive Analytics and Machine Learning for Electricity Consumption Resilience in Wholesale Power Markets

JI Janjua, A Sabir, T Abbas, SQ Abbas… - … Conference on Cyber …, 2024 - ieeexplore.ieee.org
This article presents the research results on creating prediction models using historical data
on projected power usage in an area with many sectors. Given the constantly high energy …

Ransomware Attacks: Tools and Techniques for Detection

K Khaliq, NZ Ab Rahim, K Hamid… - … on Cyber Resilience …, 2024 - ieeexplore.ieee.org
Ransomware is a sort of crypto virology virus that attempts to expose or persistently limit
access to the accused's private information until a ransom payment is made. Although some …

Privacy and Security Concerns in Big Data

A Asasfeh, L Tarawneh, MR Pradhan… - … Conference on Cyber …, 2024 - ieeexplore.ieee.org
In the Big Data age, where huge volumes of information are leveraged for analysis and
innovation, the paramount importance of protecting privacy and enhancing security has …

Enhancing Cybersecurity with Artificial Neural Networks: A Study on Threat Detection and Mitigation Strategies

A Ali, A Zia, A Razzaque, H Shahid… - … on Cyber Resilience …, 2024 - ieeexplore.ieee.org
This paper reviews the role of artificial neural networks (ANNs) in enhancing cybersecurity
measures. It delves into research methodologies employed to detect security breaches …

Review of the Mechanisms Used to Protect the Big Data from Attacks

NM Alnawafleh, A Ibrahim… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
This study primarily aims to protect large data from different types of assaults. The
deployment of big data security measures to prevent unauthorized access to data and …

Identification of the Diabetic Retinopathy Using ResNet-18

F Ahmed, A Fatima, M Mamoon… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In the realm of healthcare, trauma, aging, and diseases like diabetes can cause a variety of
abnormalities in human eyes. Diabetic retinopathy stands out as a prevalent global cause of …

AI-Driven Approaches to Cybersecurity: The Impact of Machine and Deep Learning

A Ali, A Razzaque, U Munir, H Shahid… - … on Cyber Resilience …, 2024 - ieeexplore.ieee.org
Computer Security is constantly evolving and dynamic; today, applying Artificial Intelligence
techniques becomes indispensable in treating and detecting threats to which organizations …