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Titlebook: Intelligent Computing and Networking; Proceedings of IC-IC Valentina Emilia Balas,Vijay Bhaskar Semwal,Anand Conference proceedings 2022 T

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書目名稱Intelligent Computing and Networking
副標題Proceedings of IC-IC
編輯Valentina Emilia Balas,Vijay Bhaskar Semwal,Anand
視頻videohttp://file.papertrans.cn/470/469512/469512.mp4
概述Presents research works in the field of intelligent computing and networking.Provides the results of IC-ICN 2021 held in Mumbai, India, during February 2021.Serves as a reference for researchers and p
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Intelligent Computing and Networking; Proceedings of IC-IC Valentina Emilia Balas,Vijay Bhaskar Semwal,Anand  Conference proceedings 2022 T
描述.This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2021), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 26–27, 2021. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in health ,care, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology...?.
出版日期Conference proceedings 2022
關(guān)鍵詞Intelligent System; Computing; Networking; Big Data; Cognitive Systems; Cloud Computing; Mobile Network; Da
版次1
doihttps://doi.org/10.1007/978-981-16-4863-2
isbn_softcover978-981-16-4862-5
isbn_ebook978-981-16-4863-2Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Performance Evaluation of an IoT Edge-Based Computer Vision Scheme for Agglomerations Detection Covformed through videos from a public database. The obtained results demonstrate a gain in terms of computational performance with a video analysis in comparison to the best solutions available in the literature. The proposed solution can be a powerful edge tool to support the combat against Covid-19 Pandemic.
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Comparative Review of Content Based Image Retrieval Using Deep Learning,utline the superiority of CBIR using deep learning over traditional CBIR methods. An experiment has been conducted to evaluate the efficacy of CNN over traditionally used machine learning algorithms like FNN and decision tree classifier.
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Data Clustering Algorithms: Experimentation and Comparison,rithms like K-Means, Agglomerative, and DBSCAN. A tabular comparison of algorithms is represented to acquire in-depth knowledge. The results obtained after experimenting with algorithms are also been discussed at the end.
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A Comparative Study of Clustering Algorithm,in those clusters is assigned rather than placing every data object into a distinct cluster. This paper focuses on comparative study of different clustering algorithms that are applied in data mining.
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