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Titlebook: Computer Networks, Big Data and IoT; Proceedings of ICCBI A.Pasumpon Pandian,Xavier Fernando,Syed Mohammed S Conference proceedings 2021 Th

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发表于 2025-3-21 17:45:40 | 显示全部楼层 |阅读模式
书目名称Computer Networks, Big Data and IoT
副标题Proceedings of ICCBI
编辑A.Pasumpon Pandian,Xavier Fernando,Syed Mohammed S
视频videohttp://file.papertrans.cn/234/233671/233671.mp4
概述Presents research works in the field of computer networks, big data, and IoT.Contains best selected papers presented at ICCBI 2020 held in Madurai, India, during 15–16 December 2020.Serves as a refere
丛书名称Lecture Notes on Data Engineering and Communications Technologies
图书封面Titlebook: Computer Networks, Big Data and IoT; Proceedings of ICCBI A.Pasumpon Pandian,Xavier Fernando,Syed Mohammed S Conference proceedings 2021 Th
描述.This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas..
出版日期Conference proceedings 2021
关键词ICCBI 2020; ICCBI Proceedings; Data Communication; Computer Networks; Internet of Things; Wireless Commun
版次1
doihttps://doi.org/10.1007/978-981-16-0965-7
isbn_softcover978-981-16-0967-1
isbn_ebook978-981-16-0965-7Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-22 00:08:11 | 显示全部楼层
Deep Ensemble Approach for Question Answer System,roughs in machine learning paradigm. Answer selection in question answering segment is always considered as a challenging task in natural language processing domain. The major difficulty detected here is that it not only needs the consideration of semantic matching between question answer pairs but
发表于 2025-3-22 03:43:27 | 显示全部楼层
Information Sharing Over Social Media Analysis Using Centrality Measure,e the social media and to find the range of interaction in the social network. UCINET is an analytic tool for social media networks which examines the client highlights and floating inspiration of these four environments. To measure the centrality three markers such as degree centrality, closeness c
发表于 2025-3-22 06:36:24 | 显示全部楼层
AndroHealthCheck: A Malware Detection System for Android Using Machine Learning,hers. The conventional methods of malware detection are incompetent to detect new and generic malware. In this article, a generic malware detection process is proposed using machine learning named AndroHealthCheck. The malware detection process is divided into four phases, namely android file collec
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Use of Machine Learning Services in Cloud,rocessing information, design preparation, and design assessment, with the further forecast. REST APIs can bridge the outcomes of predictions with one’s inner IT infrastructure. Like the original SaaS, IaaS, and PaaS cloud delivery models, ML and AI fields cover high-level services to provide infras
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Metaheuristic-Enabled Shortest Path Selection for IoT-Based Wireless Sensor Network,ssing and analysis of generated data by IoT sensor devices. Wireless sensor networks (WSNs) are comprised of a large number of nodes distributed in a vast region. Routing protocols are responsible for the development and the management of network routes. This paper intends to propose an optimized ro
发表于 2025-3-23 00:05:06 | 显示全部楼层
,Improved Harris Hawks Optimization Algorithm for Workflow Scheduling Challenge in Cloud–Edge Enviroose of edge computing is to bring the resources as close as possible to the clients, to the very edge of the cloud. By doing so, it is possible to achieve smaller response times and lower network bandwidth utilization. Workflow scheduling in such an edge–cloud environment is considered to be an NP-h
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