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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 2022“…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …”
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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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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
Published 2023“…<p dir="ltr">What algorithm to choose for customer segmentation? Should you use one algorithm or many? …”
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A systematic review of text classification research based on deep learning models in Arabic language
Published 2020“…The evaluation criteria used in the algorithms of different neural network types and how they play a large role in the highly accurate classification of Arabic texts are discussed. …”
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Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective
Published 2024“…It contributes to the literature by identifying the four OR innovations to typify the recent advances in SC optimization: new modeling conditions, new inputs, new decisions, and new algorithms. Furthermore, we recommend four promising research avenues in this interplay: (1) incorporating new decisions relevant to data-enabled SC decisions, (2) developing data-enabled modeling approaches, (3) preprocessing parameters, and (4) developing data-enabled algorithms. …”
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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024“…Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.…”
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The bus sightseeing problem
Published 2023“…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …”
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The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…Recent advances in algorithm design have shown a growing interest in seeking exact solutions to many hard problems. …”
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
Published 2022“…DG-means exhibited superior performance when compared to the other algorithms.…”
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The Role of KM in Enhancing AI Algorithms and Systems
Published 2020“…Additionally, the research finds that most of the studies agree on the positive relationship between knowledge management processes and the role-plays to enhance AI systems and algorithms. …”
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A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology
Published 2020“…The proposed algorithm is compared with different previous works and experimental results are recorded.…”
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masterThesis -
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
Published 2020“…In conclusion, we compared the outcome of each algorithm and found that logistic regression is one of the best algorithms for the review-analysis of the Google Play Store from an accuracy perspective. …”
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Algorithmic Study of Online Multi-Facility Location Problems
Published 2022“…The latter is a worst-case analysis that compares the cost of the online algorithm to that of the optimal offline algorithm that is assumed to know all demands in advance. …”
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A comparative study of five regression testing algorithms
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Review and analysis for the Red Deer Algorithm
Published 2021“…The Red Deer algorithm (RDA), a recent population-based meta-heuristic algorithm, is thoroughly reviewed. …”
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A matrix-based damage assessment and recovery algorithm
Published 2014“…To make the process of damage assessment and recovery fast and effective (not scanning the entire log), researchers have proposed different methods for segmenting the log file, and accordingly presented different damage assessment and recovery algorithms. …”
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