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Titlebook: Advances in Data and Information Sciences; Proceedings of ICDIS Mohan L. Kolhe,Munesh C. Trivedi,Vikash Kumar Sing Conference proceedings 2

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21#
發(fā)表于 2025-3-25 05:36:25 | 只看該作者
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發(fā)表于 2025-3-25 11:28:02 | 只看該作者
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發(fā)表于 2025-3-25 15:40:09 | 只看該作者
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發(fā)表于 2025-3-25 18:25:24 | 只看該作者
25#
發(fā)表于 2025-3-25 22:11:34 | 只看該作者
Causation and Acute Viral Diseases,s of recommender systems which do not give the clear idea about methods, techniques, and shortcomings of these systems. Hence, this paper presents an analysis of methods and techniques in current (majorly from 2013) recommender systems. Current challenges have been identified to carry out the work i
26#
發(fā)表于 2025-3-26 01:02:03 | 只看該作者
2367-3370 actitioner from academia and industry, it highlights the latest developments and technical solutions, helping readers from the computer industry capitalize on key advances in next-generation computer and communication technology..978-981-13-0276-3978-981-13-0277-0Series ISSN 2367-3370 Series E-ISSN 2367-3389
27#
發(fā)表于 2025-3-26 06:15:50 | 只看該作者
Elaborating the Integrated (Sub)stage Model, to select the appropriate host, the host which has the least chances of overutilization and requires minimum migrations is selected as the best machine for task migration. The performance of the proposed algorithm is tested in cloudsim in terms of energy efficiency, number of migrations, and SLA violation.
28#
發(fā)表于 2025-3-26 10:12:14 | 只看該作者
Gerald Young,Keith Nicholson,Andrew W. Kanebased on user’s reviews and confidence assessments as search representatives of user’s search intents. In this process, we have revisited various related research efforts and highlighted inherent design issues.
29#
發(fā)表于 2025-3-26 13:36:25 | 只看該作者
30#
發(fā)表于 2025-3-26 20:26:57 | 只看該作者
https://doi.org/10.1007/978-90-481-3529-5le training dataset. 1,66,105 training images of Bangla handwritten character of different shapes and strokes have been used to train and evaluate the performance of the model, and thus allows a higher recall rate for the character in an image and outperforms some current methodologies.
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