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21
A genetic algorithm for corrective retesting. (c1995)
منشور في 1995احصل على النص الكامل
احصل على النص الكامل
masterThesis -
22
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23
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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24
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 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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25
Improved search-tree algorithms for the cluster edit problem. (c2011)
منشور في 2011احصل على النص الكامل
احصل على النص الكامل
masterThesis -
26
Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
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27
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28
A multi-pretraining U-Net architecture for semantic segmentation
منشور في 2025"…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"
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29
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30
A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology
منشور في 2020"…Numerous damage assessment and recovery algorithms have been proposed in the literature. In this work, we present a distributed algorithm that uses blockchain technology and hash tables to solve the information warfare problem in healthcare systems. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
31
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32
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33
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34
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. …"
احصل على النص الكامل
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35
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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36
VEGAWES: variational segmentation on whole exome sequencing for copy number detection
منشور في 2015"…In this work, we developed VEGAWES for accurate and robust detection of copy number variations on WES data. VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …"
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37
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38
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39
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40
Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm
منشور في 2023"…Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. …"