A Bayesian Machine Learning Approach for Smart City
Language: English
Published by Scholars' Press
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 57.69
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Smart cities are one of the most active research fields in the world, due to the various benefits and challenges associated with their implementation. A major challenge for smart cities is processing and transporting the huge volumes of data generated by the sensor network layer, which builds the fundamental physical layer. Ongoing research is needed to address the computational challenges arising in smart city environments, particularly to help ensure efficient operations around the sensor layer. To address this challenge, a novel physical layer frame- work is proposed that intelligently learns the behavior of the physical system to enable the agents to control the sensors effectively and achieve the predefined sensor(s) and environment objectives. In addition, a novel machine learning semi-supervised Bayesian learning algorithmis proposed to learn and predict the sensors' behaviors to efficiently manage the energy consumption in houses. The novel model and algorithm were used in various diverse simulations, where results demonstrated their effectiveness in managing the energy consumption in different house settings and smart city environments.…
Seller Inventory # 9783330651906
Bibliographic details
- Title
- A Bayesian Machine Learning Approach for Smart City
- Author
- Ravi Prakash Malviya
- Publisher
- Scholars' Press
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3330651903
- ISBN 13
- 9783330651906
- Item weight
- 185 grams
- Dimensions
- 220x150x7 mm
Shipping rates from Germany to U.S.A.
| Item | 30 to 40 business days | 7 to 14 business days |
|---|---|---|
| First item | £ 51.78 | £ 60.28 |
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