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Titlebook: Data Analytics and Learning; Proceedings of DAL 2 D. S. Guru,N. Vinay Kumar,Mohammed Javed Conference proceedings 2024 The Editor(s) (if ap

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31#
發(fā)表于 2025-3-26 21:13:06 | 只看該作者
32#
發(fā)表于 2025-3-27 03:14:47 | 只看該作者
33#
發(fā)表于 2025-3-27 08:50:41 | 只看該作者
Classification of Forged Logo Images,nary classification model where the texture of the logo is extracted using two different models like Grey Level Co-Occurrence Matrix (GLCM), and Local Binary Patterns (LBP). The K Nearest Neighbor (KNN) classifier and Support Vector Machine (SVM) classifiers are used for classification. In hierarchy
34#
發(fā)表于 2025-3-27 09:41:19 | 只看該作者
Detection, Classification and Counting of Moving Vehicles from Videos, In this paper, we aim to propose a Convolutional Neural network integrated with YOLO framework to detect, classify and count vehicles from videos considering different climatic conditions like rainy, foggy, night and sunny weathers. Experimental results show that on applying this proposed network o
35#
發(fā)表于 2025-3-27 17:40:54 | 只看該作者
36#
發(fā)表于 2025-3-27 19:23:32 | 只看該作者
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發(fā)表于 2025-3-27 22:22:42 | 只看該作者
Conference proceedings 2024the second International Conference on Data Analytics and Learning (DAL 2022), which was organized by the Department of Computer Science & Engineering, Alva’s Institute of Engineering & Technology, Moodbidri, Mangalore, Karnataka, India in association with the Department of Studies in Computer Scien
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發(fā)表于 2025-3-28 03:57:27 | 只看該作者
39#
發(fā)表于 2025-3-28 07:29:13 | 只看該作者
The First Decade of the New Millenniumg phishing and protecting users from accessing a non-legitimate website. The technique uses unique features of the URL. The proposed method helps in differentiating between legitimate and non-legitimate websites. Machine learning algorithms like random forest and Support Vector Machines are used to categorize the websites.
40#
發(fā)表于 2025-3-28 12:29:14 | 只看該作者
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