A Bayesian Machine Learning Approach for Smart City

Name: A Bayesian Machine Learning Approach for Smart City
Brand: Scholars' Press
SKU: 9783330651906
Price: 56.89 EUR
Availability: InStock

Autor: Paritosh Tripathi, Sheshang Degadwala

Jazyk:

Väzba: Brožovaná

Vydavateľ: Scholars' Press

Dostupnosť: Skladom u dodávateľa

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56.89 €

Smart cities are one of the most active research fields in the world, due to the various benefits an...

Informácie o knihe

Autor

Paritosh Tripathi, Sheshang Degadwala

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2022

Stránok

112

EAN

9783330651906

ISBN

3330651903

Enbook ID

38994074

Vydavateľ

Scholars' Press

Hmotnosť

185

Rozmery

150 x 220 x 7

Kompletný popis

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.

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A Bayesian Machine Learning Approach for Smart City

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