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Titlebook: Intelligent Systems and Pattern Recognition; Third International Akram Bennour,Ahmed Bouridane,Lotfi Chaari Conference proceedings 2024 Th

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31#
發(fā)表于 2025-3-26 22:13:05 | 只看該作者
32#
發(fā)表于 2025-3-27 03:33:09 | 只看該作者
Data Clustering Using Tangent Search Algorithme between exploration and exploitation. Additionally, it includes a useful local escape mechanism to prevent getting stuck in local optima, and an adaptive step size to improve convergence towards the best solution.
33#
發(fā)表于 2025-3-27 09:13:23 | 只看該作者
1865-0929 apers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.978-3-031-46334-1978-3-031-46335-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
34#
發(fā)表于 2025-3-27 12:53:41 | 只看該作者
35#
發(fā)表于 2025-3-27 15:17:23 | 只看該作者
Towards the?Detectability of?Image Steganography Using NNPRTOOL (Neural Network for?Pattern Recognitustness of steganography in general. Moreover, it highlights the evolution of image steganalysis research using a machine learning classifier. However, the potential of such tools like NNPRTOOL, Support Vector Machine (SVM), and ENSEMBLE Classifier have shown significant results in image classifications.
36#
發(fā)表于 2025-3-27 20:46:21 | 只看該作者
37#
發(fā)表于 2025-3-27 23:42:42 | 只看該作者
38#
發(fā)表于 2025-3-28 04:45:08 | 只看該作者
39#
發(fā)表于 2025-3-28 06:38:32 | 只看該作者
Toward an?Ontology of?Pattern Mining over?Data Streamsontology to formalize the domain knowledge around PMDS. The design process of the ontology followed leading practices in ontology engineering. It is aligned to the most popular data mining and machine learning ontologies and thus, represents a major contribution toward PMDS domain ontologies.
40#
發(fā)表于 2025-3-28 12:02:41 | 只看該作者
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