找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: ICT Analysis and Applications; Proceedings of ICT4S Simon Fong,Nilanjan Dey,Amit Joshi Conference proceedings 2023 The Editor(s) (if applic

[复制链接]
查看: 34543|回复: 63
发表于 2025-3-21 19:00:56 | 显示全部楼层 |阅读模式
书目名称ICT Analysis and Applications
副标题Proceedings of ICT4S
编辑Simon Fong,Nilanjan Dey,Amit Joshi
视频video
概述Presents research works in the ICT Systems and Sustainability.Discusses the results of the 7th ICT4SD 2021 held in Goa, India.Serves as a reference for researchers and practitioners in academia and in
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: ICT Analysis and Applications; Proceedings of ICT4S Simon Fong,Nilanjan Dey,Amit Joshi Conference proceedings 2023 The Editor(s) (if applic
描述This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
出版日期Conference proceedings 2023
关键词Information and Communications Technology; Big Data and Data Mining; Data Fusion; Green Communication S
版次1
doihttps://doi.org/10.1007/978-981-19-5224-1
isbn_softcover978-981-19-5223-4
isbn_ebook978-981-19-5224-1Series 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

书目名称ICT Analysis and Applications影响因子(影响力)




书目名称ICT Analysis and Applications影响因子(影响力)学科排名




书目名称ICT Analysis and Applications网络公开度




书目名称ICT Analysis and Applications网络公开度学科排名




书目名称ICT Analysis and Applications被引频次




书目名称ICT Analysis and Applications被引频次学科排名




书目名称ICT Analysis and Applications年度引用




书目名称ICT Analysis and Applications年度引用学科排名




书目名称ICT Analysis and Applications读者反馈




书目名称ICT Analysis and Applications读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:50:15 | 显示全部楼层
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/460134.jpg
发表于 2025-3-22 00:27:42 | 显示全部楼层
发表于 2025-3-22 08:36:27 | 显示全部楼层
ICT Analysis and Applications978-981-19-5224-1Series ISSN 2367-3370 Series E-ISSN 2367-3389
发表于 2025-3-22 09:02:32 | 显示全部楼层
https://doi.org/10.1007/978-981-19-5224-1Information and Communications Technology; Big Data and Data Mining; Data Fusion; Green Communication S
发表于 2025-3-22 15:36:40 | 显示全部楼层
On Cordial Totally Magic Labeling of Flower Graphs,uch that . for all arcs . . provided the condition . is hold, where . and . where ., ., . denote the nodes and arcs, respectively. This research article found that octopus graph, vanessa graph, lilly graph, and lotus graph admits the above mentioned labeling for all values of ..
发表于 2025-3-22 18:40:28 | 显示全部楼层
发表于 2025-3-22 22:17:37 | 显示全部楼层
发表于 2025-3-23 05:18:22 | 显示全部楼层
,Data Classification Using Mesh Generation and Hough Transform,ints in the image space. The standard Hough transform is applied to each cell. The coordinates parameters with the high number of votes superior to a threshold that appears in the parameter space or the accumulator correspond to the parameters of analytical straight lines. Straight line recognition
发表于 2025-3-23 08:38:33 | 显示全部楼层
Analysis of Student Behavioural Patterns by Machine Learning, noise (DBSCAN) and .-means. The students data is collected from Kaggle data sets. The proposed framework extracts necessary behaviour features by statistics and entropy to find both anomalous behavioural patterns and main stream patterns. To predict whether the student is low active or high active
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-26 01:17
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表