Blockchain for deep learning: review and open challenges

M Shafay, RW Ahmad, K Salah, I Yaqoob… - Cluster …, 2023 - Springer
Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …

From offline to online learning: A qualitative study of challenges and opportunities as a response to the COVID-19 pandemic in the UAE higher education context

S Leo, NM Alsharari, J Abbas… - The effect of coronavirus …, 2021 - Springer
This paper aims to explore the challenges, opportunities and implications of COVID-19
pandemic in the UAE higher education context. It uses the qualitative study approach and …

[PDF][PDF] Investigating a theoretical framework for e-learning technology acceptance

B Al Kurdi, M Alshurideh… - International Journal of …, 2020 - researchgate.net
E-learning has gained recognition and fame in delivering and distributing educational
resources, and the same has become possible with the occurrence of Internet and Web …

[HTML][HTML] Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications

A Jamwal, R Agrawal, M Sharma - International Journal of Information …, 2022 - Elsevier
Recent advancements and developments in artificial intelligence (AI) based approaches
have shifted the manufacturing practices towards the fourth industrial revolution, considered …

The effect of information security on e-supply chain in the UAE logistics and distribution industry

M Alshurideh, E Alquqa, H Alzoubi… - Uncertain Supply …, 2023 - m.growingscience.com
The effect of information security on the e-supply chain attracted attention to investigate its
relationship with the mediating role of supply chain risk in the logistics and distribution …

The nexus between big data and decision-making: A study of big data techniques and technologies

R Naqvi, TR Soomro, HM Alzoubi, TM Ghazal… - … conference on artificial …, 2021 - Springer
Big Data (BD) has shifted the paradigm of conventional data analysis with the exploitation of
emerging technologies. Analysis using BD contributes to foreseeing and pulling out value …

The DDoS attacks detection through machine learning and statistical methods in SDN

A Banitalebi Dehkordi, MR Soltanaghaei… - The Journal of …, 2021 - Springer
The distributed denial-of-service (DDoS) attack is a security challenge for the software-
defined network (SDN). The different limitations of the existing DDoS detection methods …

IT governance framework and smart services integration for future development of Dubai infrastructure utilizing AI and big data, its reflection on the citizens standard of …

RM Al Batayneh, N Taleb, RA Said… - … conference on artificial …, 2021 - Springer
The development of smart cities worldwide has been necessitated by the unprecedented
increase in the global population. The formation of the Dubai Roads and Transport Authority …

The impact of cyber resilience and robustness on supply chain performance: Evidence from the UAE chemical industry

M Alshurideh, E Alquqa, H Alzoubi… - Uncertain Supply …, 2023 - growingscience.com
This paper examines the impact of cyber resilience and supply chain (SC) robustness on
supply chain performance in the UAE chemical industry. No prevailing empirical evidence …