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Titlebook: Advances in Computing and Data Sciences; Second International Mayank Singh,P. K. Gupta,Tuncer Ören Conference proceedings 2018 Springer Nat

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期刊全称Advances in Computing and Data Sciences
期刊简称Second International
影响因子2023Mayank Singh,P. K. Gupta,Tuncer Ören
视频videohttp://file.papertrans.cn/148/147312/147312.mp4
学科分类Communications in Computer and Information Science
图书封面Titlebook: Advances in Computing and Data Sciences; Second International Mayank Singh,P. K. Gupta,Tuncer Ören Conference proceedings 2018 Springer Nat
影响因子.This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the Second International Conference on Advances in Computing and Data Sciences, ICACDS 2018, held in Dehradun, India, in April 2018..The 110 full papers were carefully reviewed and selected from 598 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations..
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Yi Han,Jie Li,Kun Jia,Yanxu Liu,Wenwu Zhaoor the actual solution to the computations. Secure multiparty computation computes a certain function without revealing their private secret information..In this paper, we presented a new secure and computationally efficient protocol utilizing multi cloud servers view. In our proposed protocol, encr
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Napoleon Kurantin,Bertha Z. Osei-Hwedie MANETs is considered as the major research area in wireless communication systems. Each node in the network functions as both a host and a router. Each intermediate node forwards data packets to the next node in the path independently. The greatest visible challenge in the design of wireless ad hoc
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Global Disorder for the Post-COVID-19 Worldithin its defined perimeters is extremely important to protect the sanctity and fairness of the summative examination. In addition to the secrecy of question paper/answers-scripts, anonymity between students and examiners is also equally important for ensuring an unbiased evaluation. Anonymity and s
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Yong Xin Ruan,Charles T. L. Leungminative performance of ensemble learning model for diabetes prediction at an early stage. We have used different machine learning models and then ensemble it to improve the overall prediction accuracy. The dataset used is NHANES 2013-14 comprising of 10,172 samples and 54 feature variables for diab
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