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Herausgeber: 
  • M. Hadi Amini
  • Optimization, Learning, and Control for Interdependent Complex Networks 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Februar 2021  
    Genre:  Naturwissensch., Medizin, Technik 
     
    angewandte informatik / intelligenttransportation / interdependentinfrastructure / Künstliche Intelligenz (KI) / large-scalecomplexnetworks / machinelearning / Nachrichtententechnik, Telekommunikation / optimizationtheory
    ISBN:  9783030340964 
    EAN-Code: 
    9783030340964 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 18 mm 
    Gewicht:  482 gr 
    Seiten:  316 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 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 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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