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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 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.

Electrical engineering. --- Power electronics. --- Computational intelligence. --- Application software. --- Communications Engineering, Networks. --- Power Electronics, Electrical Machines and Networks. --- Computational Intelligence. --- Information Systems Applications (incl. Internet). --- System analysis. --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Electronics, Power --- Electric power --- Electronics --- Electric engineering --- Engineering

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This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques. Specifies the value of efficient theoretical methods in dealing with large-scale decision-making problems; Provides an investigation of distributed machine learning and optimization algorithms for large-scale networks; Includes basics and mathematical foundations needed to analyze and address the interdependent complex networks.

Telecommunication. --- Computational intelligence. --- Machine learning. --- Cooperating objects (Computer systems). --- Communications Engineering, Networks. --- Computational Intelligence. --- Machine Learning. --- Cyber-Physical Systems.

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Cooperating objects (Computer systems) --- Telecommunication --- Automatic control. --- Social aspects. --- Society and telecommunication

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This book paves the road for researchers from various areas of engineering working in the realm of smart cities to discuss the intersections in these areas when it comes to infrastructure and its flexibility. The authors lay out models, algorithms and frameworks related to the 'smartness' in the future smart cities. In particular, manufacturing firms, electric generation, transmission and distribution utilities, hardware and software computer companies, automation and control manufacturing firms, and other industries will be able to use this book to enhance their energy operations, improve their comfort and privacy, as well as to increase the benefit from the electrical system. The book pertains to researchers, professionals, and R&D in an array of industries. Analyses various resources for smart cities in terms of energy, telecommunication, market, mobility, etc; Includes an in depth study of renewable energy resources, zero energy buildings, smart homes, active customers, and electric vehicles; Covers information privacy for smart meters and how mobile users play key role in future smart cities.

Telecommunication technology --- Mass communications --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- applicatiebeheer --- apps --- tekstverwerking --- algoritmen --- architectuur (informatica) --- communicatietechnologie

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This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network. The authors analyze its long-term impacts, advances, and future prospects. The book starts by discussing the Brooks-Iyengar algorithm, which has made significant impact since its initial publication in 1996. The authors show how the technique has been applied in many domains such as software reliability, distributed systems and OS development, etc. The book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors posit that the Brooks-Iyengar Algorithm will to continue to be used where fault-tolerant solutions are needed in redundancy system scenarios. Provides a comprehensive investigation of Brooks-Iyengar Algorithm and the recently developed methods based on this algorithm; Specifies the importance and position of theoretical methods in dealing with real-world problems in the context of distributed sensing; Presents basics and mathematical foundations needed to analyze Brooks-Iyengar Algorithm.

Electrical engineering. --- Computational intelligence. --- Computer security. --- Application software. --- Communications Engineering, Networks. --- Computational Intelligence. --- Systems and Data Security. --- Information Systems Applications (incl. Internet). --- Sensor networks. --- Networks, Sensor --- Detectors --- Context-aware computing --- Multisensor data fusion --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Electric engineering --- Engineering --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Protection --- Security measures