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Titlebook: Computing for Data Analysis: Theory and Practices; Sanjay Chakraborty,Lopamudra Dey Book 2023 The Editor(s) (if applicable) and The Author

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發(fā)表于 2025-3-21 19:18:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computing for Data Analysis: Theory and Practices
編輯Sanjay Chakraborty,Lopamudra Dey
視頻videohttp://file.papertrans.cn/235/234802/234802.mp4
概述Covers various cutting-edge computing technologies and their applications.Discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing.Serves as a reference res
叢書名稱Data-Intensive Research
圖書封面Titlebook: Computing for Data Analysis: Theory and Practices;  Sanjay Chakraborty,Lopamudra Dey Book 2023 The Editor(s) (if applicable) and The Author
描述This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.
出版日期Book 2023
關(guān)鍵詞Cutting Edge Computing Technologies; Quantum Computing; Big Data; Cognitive Computing; Cloud Computing; C
版次1
doihttps://doi.org/10.1007/978-981-19-8004-6
isbn_softcover978-981-19-8006-0
isbn_ebook978-981-19-8004-6Series ISSN 2731-555X Series E-ISSN 2731-5568
issn_series 2731-555X
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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沙發(fā)
發(fā)表于 2025-3-21 22:12:13 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:09:47 | 只看該作者
Sanjay Chakraborty,Lopamudra DeyCovers various cutting-edge computing technologies and their applications.Discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing.Serves as a reference res
地板
發(fā)表于 2025-3-22 05:41:58 | 只看該作者
Data-Intensive Researchhttp://image.papertrans.cn/c/image/234802.jpg
5#
發(fā)表于 2025-3-22 09:27:51 | 只看該作者
Management der ThromboseprophylaxeA distributed computing paradigm known as edge computing architecture moves data storage space nearer to the data‘s original sources. Response times should increase, and bandwidth should be reduced as a result. Instead of transmitting IoT data back to a warehouse or cloud, it enables edge processing of IoT data.
6#
發(fā)表于 2025-3-22 13:58:25 | 只看該作者
7#
發(fā)表于 2025-3-22 18:58:37 | 只看該作者
https://doi.org/10.1007/0-387-70988-6In current years, quantum image processing becomes one of the popular research topics along with the quantum machine learning.
8#
發(fā)表于 2025-3-22 23:21:06 | 只看該作者
Edge Computing with Internet of Things (IoT) and Data AnalysisA distributed computing paradigm known as edge computing architecture moves data storage space nearer to the data‘s original sources. Response times should increase, and bandwidth should be reduced as a result. Instead of transmitting IoT data back to a warehouse or cloud, it enables edge processing of IoT data.
9#
發(fā)表于 2025-3-23 03:38:02 | 只看該作者
10#
發(fā)表于 2025-3-23 07:00:36 | 只看該作者
Quantum Computing in?Image ProcessingIn current years, quantum image processing becomes one of the popular research topics along with the quantum machine learning.
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