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Titlebook: Human-Centric Smart Computing; Proceedings of ICHCS Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Mar Conference proceedings 2023 The Edit

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書目名稱Human-Centric Smart Computing
副標題Proceedings of ICHCS
編輯Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Mar
視頻videohttp://file.papertrans.cn/430/429647/429647.mp4
概述Presents research works in the field of human-centric smart computing.Results of ICHCSC 2022 held in Jaipur, India held in April 2022.Serves as a reference for researchers and practitioners in academi
叢書名稱Smart Innovation, Systems and Technologies
圖書封面Titlebook: Human-Centric Smart Computing; Proceedings of ICHCS Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Mar Conference proceedings 2023 The Edit
描述.This book includes high-quality research papers presented at the First International Conference on Human-Centric Smart Computing (ICHCSC 2022), organized by the?University of Engineering and Management, Jaipur,?India, on 27–29 April 2022. The topics covered in the book are human-centric computing, hyper connectivity, and data science. The book presents innovative work by leading academics, researchers, and experts from industry..
出版日期Conference proceedings 2023
關鍵詞Human-Centric Computing; Membrane Computing; Hyper Connectivity; Next-Generation Communication Systems;
版次1
doihttps://doi.org/10.1007/978-981-19-5403-0
isbn_softcover978-981-19-5405-4
isbn_ebook978-981-19-5403-0Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Creation and Statistical Analysis of a Corpus for Indian Ankylosing Spondylitis Patients with Focuslnerable to COVID-19 than men among the AS patients; (iii) AS patients are mostly influenced by social media to create their opinion about their medicinal practice and even toward their opinion on vaccine for COVID-19.
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Workload Prediction of Virtual Machines Using Integrated Deep Learning Approaches Over Cloud Data Ctes from all VM workload data, whereas the BiLSTM component forecasts future VM workload. The?experimental?results reveal that the suggested model outperforms?commonly used workload prediction methods in terms of forecasting accuracy?of VMs workloads in cloud computing environments.
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A Proposed Framework to Analyze the Current Digital Health Status in Egypt,ypt’s digital medical system. We collected, assessed, and evaluated data about the population, medical staff, clinical centers, and provinces in Egypt. The proposed framework is based on comparative research and analysis that can be used to strengthen the digital health system in Egypt.
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