بدائل البحث:
experimental data » experimental _ (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
experimental data » experimental _ (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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article -
42
Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002احصل على النص الكامل
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conferenceObject -
43
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
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article -
45
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …"
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Simulated annealing and genetic algorithms for exam scheduling. (c1997)
منشور في 1997احصل على النص الكامل
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masterThesis -
49
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
50
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…The objective is to produce a model capable of predicting centroids with greater accuracy than the traditional random initialization used in K-means. Experimental results indicate that the proposed method outperforms random initialization in terms of the number of iterations required to achieve an optimal solution.…"
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masterThesis -
51
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52
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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53
Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…This conclusion was achieved after preprocessing a number of data values from these data sets.</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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55
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
56
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …"
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masterThesis -
57
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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