A Bayesian Machine Learning Approach for Smart City - Couverture souple

Malviya, Ravi Prakash ; Tripathi, Paritosh ; Degadwala, Sheshang

9783330651906: A Bayesian Machine Learning Approach for Smart City

Couverture souple

ISBN 10 : 3330651903 ISBN 13 : 9783330651906

Editeur : Scholars' Press, 2022

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�diteur: Scholars' Press
Date d'�dition: 2022
Langue: anglais
ISBN 10: 3330651903
ISBN 13: 9783330651906
Reliure: Broch�
Nombre de pages: 112
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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A Bayesian Machine Learning Approach for Smart City

Ravi Prakash Malviya

Edit� par Scholars' Press Mrz 2022, 2022

ISBN 10 : 3330651903 ISBN 13 : 9783330651906

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 112 pp. Englisch. N� de r�f. du vendeur 9783330651906

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Malviya:A Bayesian Machine Learning App

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A Bayesian Machine Learning Approach for Smart City

Malviya, Ravi Prakash|Tripathi, Paritosh|Degadwala, Sheshang

Edit� par Scholar\'s Press, 2022

ISBN 10 : 3330651903 ISBN 13 : 9783330651906

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 th. N� de r�f. du vendeur 583384459

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A Bayesian Machine Learning Approach for Smart City

Ravi Prakash Malviya

Edit� par Scholars' Press M�r 2022, 2022

ISBN 10 : 3330651903 ISBN 13 : 9783330651906

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 112 pp. Englisch. N� de r�f. du vendeur 9783330651906

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A Bayesian Machine Learning Approach for Smart City

Ravi Prakash Malviya (u. a.)

Edit� par Scholars' Press, 2022

ISBN 10 : 3330651903 ISBN 13 : 9783330651906

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A Bayesian Machine Learning Approach for Smart City

Ravi Prakash Malviya

Edit� par Scholars' Press

ISBN 10 : 3330651903 ISBN 13 : 9783330651906

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. 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. N� de r�f. du vendeur 9783330651906

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