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Titlebook: Data Analytics and Learning; Proceedings of DAL 2 P. Nagabhushan,D. S. Guru,Y. H. Sharath Kumar Conference proceedings 2019 Springer Nature

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樓主: Goiter
21#
發(fā)表于 2025-3-25 04:22:06 | 只看該作者
22#
發(fā)表于 2025-3-25 08:40:26 | 只看該作者
Conference proceedings 2022Latest editioneity were extracted from synovial cavity of enhanced image and these features are used to classify the images into two classes: normal or affected with OA. The proposed method used cubic SVM and KNN as a classifier which gives robust results as compared to others.
23#
發(fā)表于 2025-3-25 14:26:19 | 只看該作者
24#
發(fā)表于 2025-3-25 16:14:05 | 只看該作者
Shopping: The Law of Buying and Selling,taset is used for the experimentation, which consists of 1919 videos belonging to 20 classes of flowers. It has been observed that the proposed model generates good retrieval results from the fusion of the features SIFT, GLCM, and LBP.
25#
發(fā)表于 2025-3-25 22:38:31 | 只看該作者
A Switch-Prioritized Load-Balancing Technique in SDN,switch prioritization via flow prioritization is discussed with simple simulation scenario. In comparison to other techniques the proposed idea is new and helps in achieving better load balancing in SDN.
26#
發(fā)表于 2025-3-26 02:30:56 | 只看該作者
27#
發(fā)表于 2025-3-26 06:20:41 | 只看該作者
28#
發(fā)表于 2025-3-26 10:08:34 | 只看該作者
29#
發(fā)表于 2025-3-26 16:35:28 | 只看該作者
Semantic Relatedness Measurement from Wikipedia and WordNet Using Modified Normalized Google Distanporates word sense derived from WordNet and occurrence over the data from Wikipedia. Through experiments, we performed on a set of selected word pairs, and we found that the proposed method calculates relatedness that significantly correlates human intuition.
30#
發(fā)表于 2025-3-26 18:49:31 | 只看該作者
Features Fusion for Retrieval of Flower Videos,taset is used for the experimentation, which consists of 1919 videos belonging to 20 classes of flowers. It has been observed that the proposed model generates good retrieval results from the fusion of the features SIFT, GLCM, and LBP.
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