بدائل البحث:
groups algorithm » mould algorithm (توسيع البحث)
mean algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
colony » colon (توسيع البحث)
groups algorithm » mould algorithm (توسيع البحث)
mean algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
colony » colon (توسيع البحث)
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Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The search accomplished by three types of bees over a number of iterations aiming to find the source with the highest nectar value (fitness value of a candidate solution). We apply the Bee Colony algorithm to previously published data. Experimental results show good solutions that maximize the preferences of proctors while preserving the fairness of the workload given to proctors. …"
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Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
3
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. …"
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A novel encryption algorithm using multiple semifield S-boxes based on permutation of symmetric group
منشور في 2023"…The presented algorithm is mainly based on the Shannon idea of substitution–permutation network where the process of substitution is performed by the proposed S<sub>8</sub> semifield substitution boxes and permutation operation is performed by the binary cyclic shift of substitution box transformed data. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…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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article -
10
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…Researchers have scrutinized data hiding schemes in recent years. Data hiding in standard images works well, but does not provide satisfactory results in distortion-sensitive medical, military, or forensic images. …"
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11
A Survey of Data Clustering Techniques
منشور في 2023"…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …"
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masterThesis -
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. …"
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masterThesis -
15
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
منشور في 2023"…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
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The Use of Microwave Tomography in Bone Healing Monitoring
منشور في 2019احصل على النص الكامل
doctoralThesis -
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
18
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BUC algorithm for iceberg cubes
منشور في 2003"…The Iceberg-Cube problem restricts the computation of the data cube to only those group-by partitions satisfying a minimum threshold condition defined on a specified measure. …"
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conferenceObject -
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Development of a deep learning-based group contribution framework for targeted design of ionic liquids
منشور في 2024"…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). …"