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Titlebook: Big Data, Machine Learning, and Applications; First International Ripon Patgiri,Sivaji Bandyopadhyay,Dalton Meitei T Conference proceeding

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樓主: Blandishment
31#
發(fā)表于 2025-3-26 21:51:39 | 只看該作者
1865-0929 ions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.?.978-3-030-62624-2978-3-030-62625-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
32#
發(fā)表于 2025-3-27 04:50:10 | 只看該作者
1865-0929 ications, BigDML 2019, held in Silchar, India, in December..The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security an
33#
發(fā)表于 2025-3-27 07:57:26 | 只看該作者
34#
發(fā)表于 2025-3-27 09:46:23 | 只看該作者
Functional Calculus and Derivation,sfer and receive the data. The performance of the network is analyzed using Quality of Service (QoS) parameters, including throughput and power consumption. The observed throughput and power consumption of the proposed model is improved by more than 30% as compared to the model without blockchain.
35#
發(fā)表于 2025-3-27 15:41:02 | 只看該作者
TUKNN: A Parallel KNN Algorithm to Handle Large Data,erimental study, it has been observed that our method is capable of handling datasets with large dimensionality and instances with high accuracy. We also recommend best possible proximity measure and optimal range of . values for better accuracy.
36#
發(fā)表于 2025-3-27 20:00:30 | 只看該作者
37#
發(fā)表于 2025-3-28 01:44:44 | 只看該作者
38#
發(fā)表于 2025-3-28 02:20:37 | 只看該作者
Cluster-Based Regression Model for Predicting Aqueous Solubility of the Molecules,teps in that process is aqueous solubility prediction. Aqueous solubility (logS) is a significant feature which is used to determine the drug-likeness of any compound. There are various machine learning, and statistical methods have been used to predict aqueous solubility in the literature. In this
39#
發(fā)表于 2025-3-28 08:18:42 | 只看該作者
40#
發(fā)表于 2025-3-28 14:00:31 | 只看該作者
Automatic Extraction of Locations from News Articles Using Domain Knowledge,strained languages. In this work, we report the task of language-independent automatic extraction of locations from news articles using domain knowledge. The work is tested on four languages namely, English and three resource-constrained languages: Assamese, Manipuri and Mizo, the lingua francas of
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