Application of Metaheuristic Algorithms for Optimizing Longitudinal Square Porous Fins

Atawneh, Samer; Khan, Waqar A.; Hamadneh, Nawaf N.; Alhomoud, Adeeb

doi:10.32604/cmc.2021.012351

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Evolutionary algorithms, swarm intelligence algorithms, physics-based methods, and humanbased methods are some of the most common meta-heuristic classifications [32]. Evolutionary algorithms use operators inspired by biological characteristics like crossover and mutation to imitate natural evolution habits.…”

Section: Optimization Algorithmsmentioning

confidence: 99%

A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells燙lassification

Fathy¹,

Yaseen²,

Abou-Kreisha³

et al. 2023

Computers, Materials &Amp; Continua

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Some human diseases are recognized through of each type of White Blood Cell (WBC) count, so detecting and classifying each type is important for human healthcare. The main aim of this paper is to propose a computer-aided WBCs utility analysis tool designed, developed, and evaluated to classify WBCs into five types namely neutrophils, eosinophils, lymphocytes, monocytes, and basophils. Using a computer-artificial model reduces resource and time consumption. Various pre-trained deep learning models have been used to extract features, including AlexNet, Visual Geometry Group (VGG), Residual Network (ResNet), which belong to different taxonomy types of deep learning architectures. Also, Binary Border Collie Optimization (BBCO) is introduced as an updated version of Border Collie Optimization (BCO) for feature reduction based on maximizing classification accuracy. The proposed computer aid diagnosis tool merges transfer deep learning ResNet101, BBCO feature reduction, and Support Vector Machine (SVM) classifier to form a hybrid model ResNet101-BBCO-SVM an accurate and fast model for classifying WBCs. As a result, the ResNet101-BBCO-SVM scores the best accuracy at 99.21%, compared to recent studies in the benchmark. The model showed that the addition of the BBCO algorithm increased the detection accuracy, and at the same time, decreased the classification time consumption. The effectiveness of the ResNet101-BBCO-SVM model has been demonstrated and beaten in reasonable ratios in recent literary studies and end-to-end transfer learning of pre-trained models.

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Section: Optimization Algorithmsmentioning

confidence: 99%

A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells燙lassification

Fathy¹,

Yaseen²,

Abou-Kreisha³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

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Comparative analysis on heat transfer of various fin profile using solid works: A systematic review

Madhavadas

Das

Mohta

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Fins are widely used to enhance the amount of heat transfer by improving the rate of convection heat transfer. Fins are also known as extended surfaces, i.e., extrusions from the object surface. There are numerous kinds of fins, and based on the shape and size, the amount of heat transfer through the fins will differ. Heat transfer depends upon the geometry of the fin and depends upon a number of factors such as the nature of the fin surface, the ambient temperature; the velocity of the air, etc. In this present study, the systematic review is carried out by critically analyzing the different types of fin profile such as plain rectangular fin, wavy fin, circular pin fin, and rectangular pin fin to increase the fins efficiency. The outcome from this study reveals that the heat transferred by the fins is mainly dependent on the fins profile (type and shape), length, angle, and surface area. Alongside the orientation of the fins, porosity, thermo-geometry also affects the fins’ efficiency.

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Application of Radial Basis Function Neural Network Coupling Particle Swarm Optimization Algorithm to Classification of Saudi Arabia Stock Returns

Rashedi

Ismail

Hamadneh

et al. 2021

Journal of Mathematics

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Artificial intelligence (AI) based business process optimization has a significant impact on a country’s economic development. We argue that the use of artificial neural networks in business processes will help optimize these processes ensuring the necessary level in the functioning and compliance with the foundations of sustainable development. In this paper, we proposed a mathematical model using AI to detect outliers in the daily return of Saudi stock market (Tadawul). An outlier is defined as a data point that deviates too much from the rest of the observations in a data sample. Based on the Engle and Granger Causality test, we selected inflation rate, repo rate, and oil prices as input variables. In order to build the mathematical model, we first used the Tukey method to detect outliers in the stock return data from Tadawul that are collected during the period from October 2011 to December 2019. In this way, we categorized the stock return data into two classes, namely, outliers and nonoutliers. These data are further used to train artificial neural network in conjunction with particle swarm optimization algorithm. In order to assess the performance of the proposed model, we employed the mean squared error function. Our proposed model is signified by the mean squared error value of 0.05. The proposed model is capable of detecting outlier values directly from the inflation rate, repo rate, and oil prices. The proposed model can be helpful in developing and applying intelligent optimization techniques to solve problems in business processes.

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Application of Metaheuristic Algorithms for Optimizing Longitudinal Square Porous Fins

Cited by 3 publications

References 33 publications

A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells燙lassification

A Novel Meta-Heuristic Optimization Algorithm in White Blood Cells燙lassification

Comparative analysis on heat transfer of various fin profile using solid works: A systematic review

Application of Radial Basis Function Neural Network Coupling Particle Swarm Optimization Algorithm to Classification of Saudi Arabia Stock Returns

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