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Article
Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch Fish Optimization Algorithm (CFOA). This algorithm simulates t...
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Article
Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every facet of modern life, escalating concerns surrounding network security for users. Consequently, the demand for a robust ...
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Article
Open AccessModified crayfish optimization algorithm for solving multiple engineering application problems
Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the crayfish search efficiency decreases in the later stage of the algorithm, and the algorithm is easy to fall into local optimum...
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Article
Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
Recently, optimization problems have been revised in many domains, and they need powerful search methods to address them. In this paper, a novel hybrid optimization algorithm is proposed to solve various bench...
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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
Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The thr...
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Article
A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy
Multilevel thresholding is one of the most commonly used methods in image segmentation. However, the exhaustive search methods are costly in determining optimal thresholds and the conventional remora optimizat...
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Article
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, cal...
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Chapter
A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48
In this study, the possibility of using and applying the capabilities of artificial intelligence (AI) and machine learning (ML) to increase the effectiveness of Internet of Things (IoT) and big data in develop...
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Chapter
Comparison of Pre-trained and Convolutional Neural Networks for Classification of Jackfruit Artocarpus integer and Artocarpus heterophyllus
Cempedak (Artocarpus heterophyllus) and nangka (Artocarpus integer) are highly similar in their external appearance and are difficult to recognize visually by a human. It is also common to name both jackfruits. C...
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Chapter
Enhanced MapReduce Performance for the Distributed Parallel Computing: Application of the Big Data
Now a days and previous years, the increase in the volume of data has accelerated and this requires more storage places with the increase of data, as big data has a huge number of users and cloud computing, an...
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Chapter
Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect
Arab customers give their comments and opinions daily, and it increases dramatically through online reviews of products or services from companies, in both Arabic, and its dialects. This text describes the use...
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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
Open AccessAn enhanced chimp optimization algorithm for continuous optimization domains
Chimp optimization algorithm (ChOA) is a recently proposed metaheuristic. Interestingly, it simulates the social status relationship and hunting behavior of chimps. Due to the more flexible and complex applica...
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Chapter
Aquila Optimizer Based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing
This paper introduces IAO, a new swarm intelligence approach for addressing the challenge of task scheduling in cloud computing. The proposed method uses conventional Aquila Optimizer (AO) and Particle Swarm O...
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Article
Improved barnacles mating optimizer algorithm for feature selection and support vector machine optimization
With the rapid development of computer technology, data collection becomes easier, and data object presents more complex. Data analysis method based on machine learning is an important, active, and multi-disci...
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Article
Pulse coupled neural network based on Harris hawks optimization algorithm for image segmentation
Medical image segmentation is a hotspot in the field of image segmentation, and there are many segmentation methods. As a method of image segmentation, pulse coupled neural network (PCNN) has excellent segment...
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Article
An improved thermal exchange optimization based GLCM for multi-level image segmentation
The gray-level co-occurrence matrix (GLCM) can obtain the pixel matrix of the image, and selecting multiple thresholds for the matrix can obtain better segmentation results. However, as the number of threshold...
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Article
Modified thermal exchange optimization based multilevel thresholding for color image segmentation
This paper proposes a multi-threshold image segmentation method based on modified thermal exchange optimization (TEO). Although it is efficient and gives excellent result in the case of bi-level thresholding, ...
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Article
Krein-space approach to robust filtering for uncertain systems with time-varying bias
In this paper, a novel Krein space approach to robust estimation for uncertain systems with accumulated bias is proposed. The bias is impacted by system uncertainties and exists in both state transition and ob...
