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Titlebook: Integrated Intelligent Computing, Communication and Security; A.N. Krishna,K.C. Srikantaiah,C Naveena Book 2019 Springer Nature Singapore

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發(fā)表于 2025-3-23 10:27:02 | 只看該作者
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Predicting Survival of Communities in a Social Network,cur in a community are birth, death, merging, splitting, reform, expansion and shrinkage. Here, we focus on tracking and analyzing various events of a community which change over time. This chapter predicts the survival of communities based on events by extracting their most influential features.
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發(fā)表于 2025-3-24 03:02:40 | 只看該作者
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發(fā)表于 2025-3-24 10:09:43 | 只看該作者
1860-949X ructures.Includes smart computing topics that highlight futu.This book highlights the emerging field of intelligent computing and developing smart systems. It includes chapters discussing the outcome of challenging research related to distributed computing, smart machines and their security related
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發(fā)表于 2025-3-24 13:13:56 | 只看該作者
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發(fā)表于 2025-3-24 15:42:06 | 只看該作者
Improved ,-Anonymity Privacy-Preserving Algorithm Using Madhya Pradesh State Election Commission Biection data set acquired from the Madhya Pradesh (MP, India) State Election Commission. Along with greater privacy, the algorithm is executed in less time than the traditional .-anonymity algorithm, and as such, it is able to satisfy the data protection needs of the current big data environment.
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發(fā)表于 2025-3-24 20:17:02 | 只看該作者
Logit-Based Artificial Bee Colony Optimization (LB-ABC) Approach for Dental Caries Classification Ulassification accuracy by using dental X-ray images as the numerical input generated through a gray-level co-occurrence matrix (GLCM), a texture feature extraction process. With this approach, the proposed work achieved an optimal accuracy of 99.16% and a minimized error of about 0.0033.
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發(fā)表于 2025-3-25 02:43:55 | 只看該作者
CBHiveQL: Context-Based Hive Query Language for Large Data Analysis,ntexts. Our experiments show that there is a significant improvement in the execution time of successive retrieval queries; this enhancement in retrieval efficiency becomes significant when petabytes of data are handled.
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