A Bayesian Machine Learning Approach for Smart City
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Bester Preis: € 44,99 (vom 28.04.2022)1
A Bayesian Machine Learning Approach for Smart City (2022)
~EN PB NW RPISBN: 9783330651906 bzw. 3330651903, vermutlich in Englisch, OmniScriptum|Scholars\' Press, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
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. Books.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
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. Books.
2
A Bayesian Machine Learning Approach for Smart City
~EN PB NWISBN: 9783330651906 bzw. 3330651903, vermutlich in Englisch, OmniScriptum / Scholars' Press, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
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. 2022. 112 S. 220 mm Versandfertig in 6-10 Tagen, Softcover, Neuware, Offene Rechnung (Vorkasse vorbehalten).
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
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. 2022. 112 S. 220 mm Versandfertig in 6-10 Tagen, Softcover, Neuware, Offene Rechnung (Vorkasse vorbehalten).
3
A Bayesian Machine Learning Approach for Smart City (2022)
~EN PB NW RPISBN: 9783330651906 bzw. 3330651903, vermutlich in Englisch, 112 Seiten, OmniScriptum Scholars Press, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
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 c, 2022, Kartoniert / Broschiert, Neuware, Taschenbuch, 185g, 112, Banküberweisung, PayPal.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
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 c, 2022, Kartoniert / Broschiert, Neuware, Taschenbuch, 185g, 112, Banküberweisung, PayPal.
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Symbolbild
A Bayesian Machine Learning Approach for Smart City (2022)
~EN PB NWISBN: 9783330651906 bzw. 3330651903, vermutlich in Englisch, Scholars' Press, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
nach der Bestellung gedruckt Neuware 112 pp. Englisch, Books.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
nach der Bestellung gedruckt Neuware 112 pp. Englisch, Books.
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Symbolbild
A Bayesian Machine Learning Approach for Smart City (2022)
~EN PB NWISBN: 9783330651906 bzw. 3330651903, vermutlich in Englisch, 112 Seiten, Scholars' Press, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland.
Von Händler/Antiquariat, AHA-BUCH GmbH, [4009276].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, AHA-BUCH GmbH, [4009276].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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