An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem حسب Bendaya, M.

"…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …"
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Simulated tempering and mean field annealing for mapping to multicomputers. (c1996) حسب Aghazarian, Gabriel I.

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Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"

Adaptive step-size sign least mean squares حسب Aldajani, M.A.

"…It is shown how the algorithm can be implemented with no real multiplication. …"
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Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique حسب J. Jayapradha (21323774)

On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

"…<h3 dir="ltr">Purpose</h3><p dir="ltr">This work applies a computational framework for vibration attenuation in periodic structures by combining the established wave and finite element (WFE) method with nature-inspired optimization algorithms. …"

Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

"…This parameter has major impact on the algorithm run-time and the quality of the solution subspace searched. …"
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Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…To diversify the search, we have also incorporated tabu search-based characteristics in the allocation phase of the SE algorithm. …"
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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. 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. …"

Mining airline data for CRM strategies. (c2006) حسب Maalouf, Lena

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Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

"…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …"
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

"…To intensify the search, we have also incorporated Tabu Search-based characteristics in the allocation phase of the SE algorithm. …"
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Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System حسب Sahawneh, Laith Rasmi

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Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

"…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"