找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 22638|回復(fù): 41
樓主
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

書目名稱Computing for Data Analysis: Theory and Practices影響因子(影響力)




書目名稱Computing for Data Analysis: Theory and Practices影響因子(影響力)學(xué)科排名




書目名稱Computing for Data Analysis: Theory and Practices網(wǎng)絡(luò)公開度




書目名稱Computing for Data Analysis: Theory and Practices網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computing for Data Analysis: Theory and Practices被引頻次




書目名稱Computing for Data Analysis: Theory and Practices被引頻次學(xué)科排名




書目名稱Computing for Data Analysis: Theory and Practices年度引用




書目名稱Computing for Data Analysis: Theory and Practices年度引用學(xué)科排名




書目名稱Computing for Data Analysis: Theory and Practices讀者反饋




書目名稱Computing for Data Analysis: Theory and Practices讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-10 19:00
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
阿城市| 阜康市| 共和县| 蒙自县| 霞浦县| 普洱| 平罗县| 绿春县| 军事| 三原县| 凭祥市| 洞口县| 揭东县| 古田县| 张家界市| 邳州市| 华池县| 泸西县| 大理市| 涡阳县| 冀州市| 眉山市| 安阳市| 普兰店市| 楚雄市| 和平区| 舟山市| 长寿区| 吉水县| 彰化县| 休宁县| 鄂州市| 顺义区| 图们市| 新兴县| 平度市| 新蔡县| 库伦旗| 彰武县| 邵阳市| 苍南县|