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Arithmetic optimization algorithm: a review and analysis
Published 2024“…It also explores the applications of the algorithm in different fields, which will be of help for future researchers.…”
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022Subjects: “…slime mould algorithm (SMA)…”
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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
Published 2023“…We found researchers employing 46 different algorithms and 14 different evaluation metrics. …”
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…<br></p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3292248" target="_blank">https://dx.doi.org/10.1109/access.2023.3292248</a></p>…”
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A comparative study of five regression testing algorithms
Published 1997“…The experimental results show that the five algorithms are suitable for different requirements of regression testing. …”
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Social spider optimization algorithm: survey and new applications
Published 2024“…This survey also studied the main applications of this algorithm in different fields, including medical, mathematical, artificial intelligence, engineering, and data engineering, and how this algorithm affected, impacted, and supported the different fields. …”
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Power Control Algorithms for Media Transmission in Remote Healthcare Systems
Published 2018“…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …”
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A fast exact sequential algorithm for the partial digest problem
Published 2016“…The percentage of improvement is more than 75% over the best known practical algorithm for the worst case. For large numbers of inputs, our algorithm is able to solve the problem in a suitable time, while the best known practical algorithm is unable.…”
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Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic
Published 2021“…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Published 2023“…All the experimental results are analyzed by several nonparametric statistical methods, including the Bayesian rank-sum test, Friedman test, Wilcoxon signed-rank test, critical difference plot and Bayesian signed-rank test. Moreover, the convergence, diversity, and the trade-off between exploration and exploitation of these 15 algorithms are also analyzed. …”
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…This adjustment highlights the importance of concentration levels in reflecting the variability specific to individual interaction sites. The algorithm results show that the internal validation performance of RF, XGBoost, and MLP is strong, with AUC scores of 0.90, 0.90, and 0.87, respectively. …”
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Spider monkey optimizations: application review and results
Published 2024“…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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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024“…To improve the effectiveness and efficiency of the UniBFS algorithm, Redundant Features Elimination algorithm (RFE) is presented in this paper. …”
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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…To address the complexity of this NP-hard problem, the HES-IG algorithm combines evolution strategies (ES) and iterated greedy (IG) algorithm, as hybridizing algorithms helps different algorithms mitigate their weaknesses and leverage their respective strengths. …”
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
Published 2020“…</p><h2>Other Information</h2><p dir="ltr">Published in: Algorithms<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/a13080202" target="_blank">https://dx.doi.org/10.3390/a13080202</a></p>…”
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Published 2021“…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. The proposed method can be considered secure and reliable for any kind of biometric identification and authentication.…”
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Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
Published 2021“…We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …”
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The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers
Published 2021“…The integration of the control algorithm managed to reduce differences in system performance between dry and humid locations, thus generating total annual savings of up to 21.8% in any typical city of the Arabian Gulf.…”
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