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Titlebook: Data Science Analytics and Applications; First International Shriram R,Mak Sharma Conference proceedings 2018 Springer Nature Singapore Pt

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樓主: Levelheaded
51#
發(fā)表于 2025-3-30 11:44:06 | 只看該作者
Milo? Savi?,Mirjana Ivanovi?,Lakhmi C. Jaint, CB can select the best CP only based on true feedback which provides valid service to the requested CU. Our proposed framework improves job success rate and reduces cost loss to the user in a cloud environment.
52#
發(fā)表于 2025-3-30 14:08:57 | 只看該作者
53#
發(fā)表于 2025-3-30 20:20:17 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/263061.jpg
54#
發(fā)表于 2025-3-30 21:30:40 | 只看該作者
55#
發(fā)表于 2025-3-31 02:07:34 | 只看該作者
978-981-10-8602-1Springer Nature Singapore Pte Ltd. 2018
56#
發(fā)表于 2025-3-31 05:57:10 | 只看該作者
57#
發(fā)表于 2025-3-31 11:10:21 | 只看該作者
Complex Networks and Their Applications VII and inter cluster similarity is minimized in the clustering technique. Distance based similarity measures are employed in .-means, .-mediods, etc. which are some of the clustering algorithms. This project explores the scope of guided clustering, wherein frequent and rare patterns shall be employed
58#
發(fā)表于 2025-3-31 14:42:58 | 只看該作者
59#
發(fā)表于 2025-3-31 21:28:28 | 只看該作者
60#
發(fā)表于 2025-4-1 00:20:04 | 只看該作者
Studies in Computational Intelligencef Forward-Backward Mean-Shift (FBMS) has the problem in face tracking when the target moves fast and during long term occlusions of the target. Hence, this paper proposes Modified Forward-Backward Mean-Shift algorithm (MFBMS) method for face tracking. The tracker is initialized by Viola-Jones based
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