Intelligent Development of Smart Cities: Deepint.net Case Studies
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-78901-5_19
Reference49 articles.
1. Mortoja, M.G., Yigitcanlar, T.: Local drivers of anthropogenic climate change: quantifying the impact through a remote sensing approach in brisbane. Remote Sens. 12(14), 2270 (2020)
2. Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wirel. Commun. Mob. Comput. ID 3086854 (2018). https://doi.org/10.1155/2018/3086854
3. Butler, L., Yigitcanlar, T., Paz, A.: Smart urban mobility innovations: a comprehensive review and evaluation. IEEE Access 8, 196034–196049 (2020)
4. Corchado, J.M., et al.: Deepint.net: a rapid deployment platform for smart territories. Sensors 21(1), 236 (2021). https://doi.org/10.3390/s21010236
5. Yigitcanlar, T., Butler, L., Windle, E., Desouza, K.C., Mehmood, R., Corchado, J.M.: Can building artificially intelligent cities safeguard humanity from natural disasters, pandemics, and other catastrophes? An Urban scholar’s perspective. Sensors 20(10), 2988 (2020). https://doi.org/10.3390/s20102988
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A systemic approach to sustainable railway infrastructure planning: the case study of Milton Keynes;Smart and Sustainable Built Environment;2023-11-07
2. Pollutant Time Series Analysis for Improving Air-Quality in Smart Cities;International Journal of Interactive Multimedia and Artificial Intelligence;2023
3. Time Series Forecasting for Improving Quality of Life and Ecosystem Services in Smart Cities;Lecture Notes in Networks and Systems;2023
4. Optimizing Fire Control Monitoring System in Smart Cities;Computational Collective Intelligence;2023
5. Automating the Implementation of Unsupervised Machine Learning Processes in Smart Cities Scenarios;Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3