Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

"…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound حسب Abdel-Hafez, Mamoun

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Spider monkey optimizations: application review and results حسب Abualigah, Laith

"…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models حسب Theng, Lau Wei

"…Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations حسب Mueen Uddin (4903510)

Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control حسب Farhat Mahmood (15468854)

"…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. …"

Cuckoo search for portfolio optimization. (c2014) حسب Medawar, Mohammad Kamal El

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Forward simulation of three-dimensional advection-diffusion using a fundamental solution for a linear flow حسب Wehbe, Rawan

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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV حسب Zulkifli, Muhammad

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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…"

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey حسب Faria Nawshin (21841598)

"…The accuracy of these models largely depends on the size and quality of the training dataset. …"

Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

"…Major advances in the fields of Internet and Communication Technology (ICT), data modeling/processing, and sensing technology have rendered traditional environments (e.g., cities, buildings) more connected. …"
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Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

"…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …"
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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Additionally, our proposed model optimizes the features using a genetic algorithm. …"

Formal synthesis of VLSI layouts from algorithmic specifications حسب Sait, Sadiq M.

"…This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …"
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts حسب ALSHAMSI, SUROUR

"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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A hybrid graph representation for recursive backtracking algorithms حسب Abu-Khzam, Faisal N.

"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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