[HTML][HTML] Emerging trends in blockchain technology and applications: A review and outlook
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …
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RETRACTED ARTICLE: Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications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) …
optimization problems, a comprehensive survey of the group search optimizer (GSO) …
A deep neural network based multi-task learning approach to hate speech detection
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 …
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 …
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 …
scheduling costs and improve service availability and accessibility. The approach of cloud …