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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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

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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

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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

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,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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