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: Big Data Science and Analytics for Smart Sustainable Urbanism; Unprecedented Paradi Simon Elias Bibri Book 2019 The Editor(s) (if applicabl

[復(fù)制鏈接]
樓主: DART
11#
發(fā)表于 2025-3-23 12:04:21 | 只看該作者
,Novel Intelligence Functions for Data–driven Smart Sustainable Urbanism: Utilizing Complexity Scieneed, a new era is presently unfolding wherein smart sustainable urbanism is increasingly becoming data-driven. In light of this, smart sustainable urbanism has become even more complex with the very technologies being used to make sense of and deal with it as involving special conundrums, wicked pro
12#
發(fā)表于 2025-3-23 15:27:31 | 只看該作者
13#
發(fā)表于 2025-3-23 20:55:18 | 只看該作者
2522-8714 nism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformati978-3-030-17314-2978-3-030-17312-8Series ISSN 2522-8714 Series E-ISSN 2522-8722
14#
發(fā)表于 2025-3-24 02:10:21 | 只看該作者
15#
發(fā)表于 2025-3-24 05:14:13 | 只看該作者
16#
發(fā)表于 2025-3-24 08:18:51 | 只看該作者
https://doi.org/10.1007/978-3-658-37619-2t, one of the most appealing strands of research in the domain of smart sustainable urbanism is that which is concerned with futures studies related to the planning and development of new models for smart sustainable cities. Not only in the futures studies using a backcasting approach to strategic p
17#
發(fā)表于 2025-3-24 13:49:57 | 只看該作者
Introduction to Computational Fluid Dynamicsrt urbanism while barely exploring how this approach can improve and advance sustainable urbanism under what is labeled ‘data-driven smart sustainable cities’ as a leading paradigm of urbanism. Having a threefold aim, this chapter first examines how data-driven smart sustainable cities are being ins
18#
發(fā)表于 2025-3-24 15:41:07 | 只看該作者
19#
發(fā)表于 2025-3-24 22:51:37 | 只看該作者
https://doi.org/10.1007/978-981-10-2498-6 big data computing and its application. It was not until recently that the realization grew about the benefits of exploiting the big data deluge and its extensive sources to better monitor, understand, analyze, and plan smart and smarter cities to improve their contribution to sustainability. Howev
20#
發(fā)表于 2025-3-24 23:25:10 | 只看該作者
https://doi.org/10.1007/978-3-540-24764-7lated to the weak connection between and the extreme fragmentation of sustainable cities and smart cities as approaches and landscapes, respectively, despite the great potential of advanced ICT for, and also its proven role in, supporting sustainable cities in improving their performance under what
 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 期刊點評 投稿經(jīng)驗總結(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 05:32
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
浑源县| 郑州市| 胶南市| 扎兰屯市| 贵阳市| 安庆市| 镇雄县| 东海县| 和静县| 石门县| 惠水县| 礼泉县| 温泉县| 宜都市| 沅陵县| 文昌市| 申扎县| 额敏县| 江达县| 东莞市| 开远市| 凭祥市| 若尔盖县| 全州县| 海伦市| 河曲县| 新营市| 台中县| 阿坝县| 菏泽市| 泗洪县| 海口市| 桐庐县| 涟源市| 汽车| 淮阳县| 安泽县| 全椒县| 辰溪县| 绥阳县| 岗巴县|