9783030340933 - optimization, learning, and control for interdependent complex networks: 1123 (advances in intelligent systems and computing, 1123) (9 resultados)
Idioma: Inglés
Editorial: Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Idioma: Inglés
Editorial: Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Idioma: Inglés
Editorial: Springer, Berlin, Springer International Publishing, Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researche…rs working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. - Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks - Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks - Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.
Idioma: Inglés
Editorial: Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Idioma: Inglés
Editorial: Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Berlin Springer International Publishing Springer Feb 2020, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the w…ay for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. - Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks - Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks - Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011. 304 pp. Englisch.
Idioma: Inglés
Editorial: Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 79,50
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Condición: New. PRINT ON DEMAND.
Idioma: Inglés
Editorial: Springer International Publishing, 2020
Serie: Libro 353 de 540 - Advances in Intelligent Systems and Computing
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Librería: moluna, Greven, Alemaniamoluna
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EUR 48,74
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Specifies the importance of efficient theoretical methods in dealing with problems in the context of interdependent networksProvides a comprehensive investigation of recently developed algorithms for largesc…ale networksPresents basics and m.
