[HTML][HTML] Emerging trends in blockchain technology and applications: A review and outlook

AG Gad, DT Mosa, L Abualigah, AA Abohany - Journal of King Saud …, 2022 - Elsevier
At present times, Blockchain technology is gaining more attraction with every passing day,
as it has revolutionized the traditional trade due to its distributed ledger feature, every record …

A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges

S Kaur, Y Kumar, A Koul, S Kumar Kamboj - Archives of Computational …, 2023 - Springer
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

Fick's Law Algorithm: A physical law-based algorithm for numerical optimization

FA Hashim, RR Mostafa, AG Hussien, S Mirjalili… - Knowledge-Based …, 2023 - Elsevier
Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …

Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments

M Abd Elaziz, L Abualigah, I Attiya - Future Generation Computer Systems, 2021 - Elsevier
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks

M Safaldin, M Otair, L Abualigah - Journal of ambient intelligence and …, 2021 - Springer
Intrusion in wireless sensor networks (WSNs) aims to degrade or even eliminating the
capability of these networks to provide its functions. In this paper, an enhanced intrusion …

Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …

L Abualigah, MA Elaziz, AM Khasawneh… - Neural Computing and …, 2022 - Springer
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …

RETRACTED ARTICLE: Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications

L Abualigah - Neural Computing and Applications, 2021 - Springer
In this paper, to keep the researchers interested in nature-inspired algorithms and
optimization problems, a comprehensive survey of the group search optimizer (GSO) …

A deep neural network based multi-task learning approach to hate speech detection

P Kapil, A Ekbal - Knowledge-Based Systems, 2020 - Elsevier
With the advent of the internet and numerous social media platforms, citizens now have
enormous opportunities to express and share their opinions on various societal and political …

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment

N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing

L Abualigah, M Alkhrabsheh - The Journal of Supercomputing, 2022 - Springer
The central cloud facilities based on virtual machines offer many benefits to reduce the
scheduling costs and improve service availability and accessibility. The approach of cloud …