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Article
Toward a model for acceptance of MOOCs in higher education: the modified UTAUT model for Saudi Arabia
Massive open online courses MOOCs) are a mode of online learning available to students at any place in the world to improve their skills. Their acceptance for academic purposes remains low, and it is desirable...
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Article
An enhanced Grey Wolf Optimizer based Particle Swarm Optimizer for intrusion detection system in wireless sensor networks
The intrusion detection system is a method for detection against attacks, making it one of the essential defense layers. Researchers are trying to find new algorithms to inspect all inbound and outbound activi...
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Article
Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks
Many population-dependent solutions have recently been suggested. Despite their widespread adoption in many applications, we are still researching using suggested methods to solve real-world problems. As a res...
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Article
Boosting arithmetic optimization algorithm by sine cosine algorithm and levy flight distribution for solving engineering optimization problems
Several metaheuristic methods have been applied to tackling various global and engineering optimization problems. However, this method still needs more improvement since they require a suitable balance between...
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Article
Fusion of modern meta-heuristic optimization methods using arithmetic optimization algorithm for global optimization tasks
Several population-based techniques have subsequently been proposed. Despite their broad use in a variety of applications, we are still investigating the use of proposed methods to tackle real-world challenges...
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Article
Improved Arithmetic Optimization Algorithm for Parameters Extraction of Photovoltaic Solar Cell Single-Diode Model
The accurate model of the solar PV system is the principal organ that describes the performance of this resource. Several approaches based on optimizing algorithms were considered valuable tools to illustrate ...
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Article
Optimized task scheduling in cloud computing using improved multi-verse optimizer
The multiverse optimizer (MVO) is one of the most trending algorithms used nowadays. The searching space in MVO is restricted by the best solution only, leading to a poor searching domain, therefore, a long se...
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Article
Improved gradual change-based Harris Hawks optimization for real-world engineering design problems
Harris Hawks optimization (HHO) is a recently introduced meta-heuristic approach, which simulates the cooperative behavior of Harris’ hawks in nature. In this paper, an improved variant of HHO is proposed, cal...
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Article
Toward the sustainability of mobile learning applications in higher education: an empirical study
The COVID-19 pandemic has been providing an opportunity to demonstrate the importance and capability for e-learning to deliver quality learning for many universities. In higher education, e-learning systems, s...
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Article
Enhancing the quality of compressed images using rounding intensity followed by novel dividing technique
The most extensive data storage size is significantly increasing, and storing such data, including images to make them obtainable over the network, has become a significant problem. Thus, efficient compression...
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Article
A novel generalized normal distribution arithmetic optimization algorithm for global optimization and data clustering problems
In the recent years of the progress of data volumes and the emergence of complexity in solving large and complex problems, the need for advanced and intelligent methods to deal with these problems has become a...
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Article
Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe
In the world of technology, the electronic and technical development of the fields of communication and the internet has increased, which has caused a renaissance in the virtual world. This development has gre...
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Article
Refined sinh cosh optimizer tuned controller design for enhanced stability of automatic voltage regulation
The efficacy of automatic voltage regulator (AVR) systems is contingent on crucial parameters like voltage regulation, response time, stability, and efficiency. Integration of controllers with AVR systems faci...
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Article
A new modified version of mountain gazelle optimization for parameter extraction of photovoltaic models
This study addresses the challenges in accurately estimating photovoltaic (PV) parameters for solar energy applications by enhancing parameter extraction processes to improve the efficiency of PV models. An in...
