找回密碼
 To register

QQ登錄

只需一步，快速開(kāi)始

掃一掃，訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Hoai-

[復(fù)制鏈接]
查看: 42847|回復(fù): 67
樓主
發(fā)表于 2025-3-21 16:33:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development
副標(biāo)題Proceedings of the I
編輯Yo-Ping Huang,Wen-June Wang,Hoai-Nam Quach
視頻videohttp://file.papertrans.cn/233/232396/232396.mp4
概述Provides recent advances in Green Technology and Sustainable Development in Industrial Revolution 4.0.Presents selected papers from the 6th International Conference on Green Technology and Sustainable
叢書(shū)名稱Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Computational Intelligence Methods for Green Technology and Sustainable Development; Proceedings of the I Yo-Ping Huang,Wen-June Wang,Hoai-
描述This book provides readers with peer-reviewed research papers presented at the 6th International Conference on Green Technology and Sustainable Development (GTSD) held in Nha Trang City, Vietnam, from July 29 to 30, 2022. The book is original work of researchers from academia and industry focusing on the theme “Green technology and sustainable development in Industrial Revolution 4.0” not only to raise awareness of the vital importance of sustainability in education, technology, and economic development, but also to highlight the essential roles of technology innovation for the green future. The book presents a wide range of research aspects including energy engineering, electric power systems, renewable energy systems, automatic control engineering, robotics, vehicle engineering, material engineering, construction engineering, mechanical engineering, vibrations, computational analysis, numerical investigation, system failure, technological solutions in health care, and so on. Throughthorough research basing on both experimental and numerical methods, the authors feature either solutions for existing problems or optimization and improvement for performance of existing methods. The
出版日期Conference proceedings 2023
關(guān)鍵詞GTSD 2022; Computational Intelligence; Green Technology; Green Information Technologies; Sustainable Dev
版次1
doihttps://doi.org/10.1007/978-3-031-19694-2
isbn_softcover978-3-031-19693-5
isbn_ebook978-3-031-19694-2Series 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 Switzerl
The information of publication is updating

書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development影響因子(影響力)




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development影響因子(影響力)學(xué)科排名




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development被引頻次




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development被引頻次學(xué)科排名




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development年度引用




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development年度引用學(xué)科排名




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development讀者反饋




書(shū)目名稱Computational Intelligence Methods for Green Technology and Sustainable Development讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics
 

0票 0.00%

Better Implies Difficulty
 

0票 0.00%

Good and Satisfactory
 

0票 0.00%

Adverse Performance
 

0票 0.00%

Disdainful Garbage
您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:40:07 | 只看該作者
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/c/image/232396.jpg
板凳
發(fā)表于 2025-3-22 01:14:05 | 只看該作者
地板
發(fā)表于 2025-3-22 06:42:55 | 只看該作者
5#
發(fā)表于 2025-3-22 09:21:09 | 只看該作者
Auxetic Structure Design with Virtual Element Method (VEM)-Based Topology Optimization,n. Then, a pattern copy constraint is used to form an auxetic macrostructure—a negative Poisson’s ratio structure. Besides, benchmark auxetic designs are rapidly prototyped using 3D printers and tested with tensile experiments to show the link of the topology optimization method with additive manufacturing.
6#
發(fā)表于 2025-3-22 16:16:08 | 只看該作者
7#
發(fā)表于 2025-3-22 17:28:18 | 只看該作者
Handbuch der allgemeinen Pathologier visibility circumstances because of the lack of detail and information. These situations can easily cause collisions and many dangerous accidents for transportation. Many previous efforts have focused on improving images only in a single case, such as low-light, fog, or dust. This way leads to sel
8#
發(fā)表于 2025-3-22 23:42:18 | 只看該作者
https://doi.org/10.1007/978-3-663-04354-6, due to Betz’s law, single-stage HAWTs only can extract the maximum of 59.3% of the energy available in the wind. This means that more than 40% of the energy from the wind is theoretically wasted. Therefore, a new idea of a horizontal coaxial dual-stage wind turbine with independent rotation is pro
9#
發(fā)表于 2025-3-23 03:26:12 | 只看該作者
10#
發(fā)表于 2025-3-23 06:00:36 | 只看該作者
 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(ài)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, 2025-10-17 05:28
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
古交市| 吉林省| 嘉峪关市| 同心县| 泸水县| 凤冈县| 西盟| 区。| 安福县| 东阳市| 乌什县| 淮滨县| 北票市| 牟定县| 泰顺县| 应用必备| 阳新县| 安岳县| 天峻县| 东丰县| 岳阳市| 云南省| 明水县| 宁陵县| 阳春市| 武宣县| 历史| 大宁县| 炉霍县| 石渠县| 仁寿县| 巴塘县| 琼海市| 蓝山县| 甘洛县| 岳阳市| 二连浩特市| 鄂州市| 临沭县| 正镶白旗| 吉首市|