Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
| 企业作者: | |
|---|---|
| 其他作者: | , , , |
| 总结: | XI, 411 p. 178 illus., 122 illus. in color. text |
| 语言: | 英语 |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| 版: | 1st ed. 2021. |
| 丛编: | Studies in Computational Intelligence,
971 |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-3-030-72065-0 |
| 格式: | 电子 图书 |
书本目录:
- Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities
- Role of Machine Learning In Weather Related Event Predictions For A Smart City
- Applying Mobile based Community Participation Model in Smart Cities
- Digital Transformation to Build Smart Cities
- Rapid IoT Prototyping
- Fuzzy Dynamic Airspace Sectorization Problem
- Virtualization Technology for LoRaWAN Roaming Simulation in Smart-Cities
- Development of a IoT Based System for Mitigate the Impact of COVID-19 in Smart Cities
- Machine Learning based Cyber-security Defense at the Age of Industry 4.0
- Software-Defined Location Privacy Protection for Vehicular Networks.