This book provides an investigative approach to how machine
learning is helping to maintain and secure smart cities, including
principal uses such as smart monitoring, privacy, reliability, and
public protection. The authors cover important areas and
issues around implementation roadblocks, ideas, and opportunities
in smart city development. The authors also include new algorithms,
architectures and platforms that can accelerate the growth of smart
city concepts and applications. Moreover, this book provides
details on specific applications and case studies related to smart
city infrastructures, big data management, and prediction
techniques using machine learning.
General
| Imprint: |
Springer Nature Switzerland AG
|
| Country of origin: |
Switzerland |
| Series: |
EAI/Springer Innovations in Communication and Computing |
| Release date: |
June 2023 |
| First published: |
2022 |
| Editors: |
Shalli Rani
• Vyasa Sai
• R. Maheswar
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
284 |
| Edition: |
1st ed. 2022 |
| ISBN-13: |
978-3-03-084184-3 |
| Categories: |
Books
|
| LSN: |
3-03-084184-7 |
| Barcode: |
9783030841843 |
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