Optimization Learning Control Interdependent (25 results)
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Published by Springer Nature 2021
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Taschenbuch. Condition: 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 re…searchers 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.
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Taschenbuch. Condition: Neu. Optimization, Learning, and Control for Interdependent Complex Networks | M. Hadi Amini | Taschenbuch | Advances in Intelligent Systems and Computing | x | Englisch | 2021 | Springer | EAN 9783030340964 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, ju…ergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer, Berlin, Springer International Publishing, Springer 2020
Series: Advances in Intelligent Systems and Computing, Book 353 of 540. Book 353 of 540 - Advances in Intelligent Systems and Computing
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Buch. Condition: 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.
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Published by Springer International Publishing Feb 2021 2021
Series: Advances in Intelligent Systems and Computing, Book 353 of 540. Book 353 of 540 - Advances in Intelligent Systems and Computing
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Taschenbuch. Condition: 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 pave…s the way 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. 316 pp. Englisch.
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Series: Advances in Intelligent Systems and Computing, Book 353 of 540. Book 353 of 540 - Advances in Intelligent Systems and Computing
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Buch. Condition: 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.
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Kartoniert / Broschiert. Condition: 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 algorit…hms for largescale networksPresents basics and m.
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Published by Springer International Publishing 2020
Series: Advances in Intelligent Systems and Computing, Book 353 of 540. Book 353 of 540 - Advances in Intelligent Systems and Computing
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Gebunden. Condition: 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.
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Published by Springer, Palgrave Macmillan Feb 2021 2021
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 th…e way for researchers working on optimization, learning, and control spread over the ¿elds 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. ¿ Speci¿es 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 networksM. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.
