Optimization Learning And Control For Interdependent Complex Networks

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Optimization, Learning, and Control for Interdependent Complex Networks

M. Hadi Amini
Optimization Learning and Control for Interdependent Complex Networks Book PDF

Author : M. Hadi Amini
Publisher : Springer Nature
Page : 306 pages
File Size : 53,9 Mb
Release : 2020-02-22
Category : Technology & Engineering
ISBN : 9783030340940

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Optimization, Learning, and Control for Interdependent Complex Networks by M. Hadi Amini Pdf

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.

Advances in Computer Vision and Computational Biology

Hamid R. Arabnia,Leonidas Deligiannidis,Hayaru Shouno,Fernando G. Tinetti,Quoc-Nam Tran
Advances in Computer Vision and Computational Biology Book PDF

Author : Hamid R. Arabnia,Leonidas Deligiannidis,Hayaru Shouno,Fernando G. Tinetti,Quoc-Nam Tran
Publisher : Springer Nature
Page : 903 pages
File Size : 53,7 Mb
Release : 2021-08-05
Category : Technology & Engineering
ISBN : 9783030710514

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Advances in Computer Vision and Computational Biology by Hamid R. Arabnia,Leonidas Deligiannidis,Hayaru Shouno,Fernando G. Tinetti,Quoc-Nam Tran Pdf

The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics & Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering; Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20.

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm

Pawel Sniatala,M. Hadi Amini,Kianoosh G. Boroojeni
Fundamentals of Brooks Iyengar Distributed Sensing Algorithm Book PDF

Author : Pawel Sniatala,M. Hadi Amini,Kianoosh G. Boroojeni
Publisher : Springer Nature
Page : 202 pages
File Size : 41,8 Mb
Release : 2020-02-05
Category : Technology & Engineering
ISBN : 9783030331320

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Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm by Pawel Sniatala,M. Hadi Amini,Kianoosh G. Boroojeni Pdf

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. This book celebrates S.S. Iyengar's accomplishments that led to his 2019 Institute of Electrical and Electronics Engineers' (IEEE) Cybermatics Congress "Test of Time Award" for his work on creating Brooks-Iyengar Algorithm and its impact in advancing modern computing.

Cyberphysical Smart Cities Infrastructures

M. Hadi Amini,Miadreza Shafie-khah
Cyberphysical Smart Cities Infrastructures Book PDF

Author : M. Hadi Amini,Miadreza Shafie-khah
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 46,9 Mb
Release : 2022-01-06
Category : Science
ISBN : 9781119748304

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Cyberphysical Smart Cities Infrastructures by M. Hadi Amini,Miadreza Shafie-khah Pdf

Learn to deploy novel algorithms to improve and secure smart city infrastructure In Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in the science and engineering of deploying novel and efficient computing algorithms to enhance the efficient operation of the networks and communication systems underlying smart city infrastructure. The book covers special issues on the deployment of these algorithms with an eye to helping readers improve the operation of smart cities. The editors present concise and accessible material from a collection of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social sciences. They also include discussions of the use of artificial intelligence to secure the operations of cyberphysical smart city infrastructure and provide several examples of the applications of novel theoretical algorithms. Readers will also enjoy: Thorough introductions to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems Explorations of machine learning and intelligent decision making in cyberphysical smart cities, including smart energy systems and intelligent transportation networks In-depth treatments of intelligent decision making in cyberphysical smart city infrastructure and optimization in networked smart cities Perfect for senior undergraduate and graduate students of electrical and computer engineering, computer science, civil engineering, telecommunications, information technology, and business, Cyberphysical Smart Cities Infrastructures is an indispensable reference for anyone seeking to solve real-world problems in smart cities.

Machine Learning and Computational Intelligence Techniques for Data Engineering

Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra
Machine Learning and Computational Intelligence Techniques for Data Engineering Book PDF

Author : Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra
Publisher : Springer Nature
Page : 885 pages
File Size : 42,7 Mb
Release : 2023-05-15
Category : Technology & Engineering
ISBN : 9789819900473

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Machine Learning and Computational Intelligence Techniques for Data Engineering by Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra Pdf

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

Hybrid Intelligent Systems

Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong
Hybrid Intelligent Systems Book PDF

Author : Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong
Publisher : Springer Nature
Page : 817 pages
File Size : 51,5 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9783030730505

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Hybrid Intelligent Systems by Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong Pdf

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Advances in Artificial Intelligence and Applied Cognitive Computing

Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti
Advances in Artificial Intelligence and Applied Cognitive Computing Book PDF

Author : Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti
Publisher : Springer Nature
Page : 1152 pages
File Size : 48,6 Mb
Release : 2021-10-14
Category : Technology & Engineering
ISBN : 9783030702960

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Advances in Artificial Intelligence and Applied Cognitive Computing by Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti Pdf

The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

Unmanned Aerial Vehicles Applications: Challenges and Trends

Mohamed Abdelkader,Anis Koubaa
Unmanned Aerial Vehicles Applications Challenges and Trends Book PDF

Author : Mohamed Abdelkader,Anis Koubaa
Publisher : Springer Nature
Page : 404 pages
File Size : 54,7 Mb
Release : 2023-06-29
Category : Technology & Engineering
ISBN : 9783031320378

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Unmanned Aerial Vehicles Applications: Challenges and Trends by Mohamed Abdelkader,Anis Koubaa Pdf

This is a book that covers different aspects of UAV technology, including design and development, applications, security and communication, and legal and regulatory challenges. The book is divided into 13 chapters, grouped into four parts. The first part discusses the design and development of UAVs, including ROS customization, structured designs, and intelligent trajectory tracking. The second part explores diverse applications such as search and rescue, monitoring distributed parameter systems, and leveraging drone technology in accounting. The third part focuses on security and communication challenges, including security concerns, multi-UAV systems, and communications security. The final part delves into the legal and regulatory challenges of integrating UAVs into non-segregated airspace. The book serves as a valuable resource for researchers, practitioners, and students in the field of unmanned aerial vehicles, providing a comprehensive understanding of UAV technology and its applications.

Artificial Intelligence for Solar Photovoltaic Systems

Bhavnesh Kumar,Bhanu Pratap,Vivek Shrivastava
Artificial Intelligence for Solar Photovoltaic Systems Book PDF

Author : Bhavnesh Kumar,Bhanu Pratap,Vivek Shrivastava
Publisher : CRC Press
Page : 309 pages
File Size : 42,6 Mb
Release : 2022-07-29
Category : Technology & Engineering
ISBN : 9781000618433

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Artificial Intelligence for Solar Photovoltaic Systems by Bhavnesh Kumar,Bhanu Pratap,Vivek Shrivastava Pdf

Discusses the way technological advancements have revolutionized solar technology with the help of and case studies. Covers advanced artificial intelligence techniques useful for improving the study related to solar systems. Focuses on finding the solution to the actual operating difficulties. Discusses core concepts and principles of artificial intelligence in the control and management of solar energy systems.

Advances in Computer Science for Engineering and Education IV

Zhengbing Hu,Sergey Petoukhov,Ivan Dychka,Matthew He
Advances in Computer Science for Engineering and Education IV Book PDF

Author : Zhengbing Hu,Sergey Petoukhov,Ivan Dychka,Matthew He
Publisher : Springer Nature
Page : 468 pages
File Size : 53,6 Mb
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 9783030804725

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Advances in Computer Science for Engineering and Education IV by Zhengbing Hu,Sergey Petoukhov,Ivan Dychka,Matthew He Pdf

This book comprises high-quality refereed research papers presented at the Fourth International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2021), held in Kyiv, Ukraine, on January 23–24, 2021, organized jointly by the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science, artificial intelligence, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications in education. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and education.

Proceedings of Data Analytics and Management

Deepak Gupta,Zdzislaw Polkowski,Ashish Khanna,Siddhartha Bhattacharyya,Oscar Castillo
Proceedings of Data Analytics and Management Book PDF

Author : Deepak Gupta,Zdzislaw Polkowski,Ashish Khanna,Siddhartha Bhattacharyya,Oscar Castillo
Publisher : Springer Nature
Page : 850 pages
File Size : 51,6 Mb
Release : 2021-11-21
Category : Technology & Engineering
ISBN : 9789811662850

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Proceedings of Data Analytics and Management by Deepak Gupta,Zdzislaw Polkowski,Ashish Khanna,Siddhartha Bhattacharyya,Oscar Castillo Pdf

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Sustainable Interdependent Networks

M. Hadi Amini,Kianoosh G. Boroojeni,S.S. Iyengar,Panos M. Pardalos,Frede Blaabjerg,Asad M. Madni
Sustainable Interdependent Networks Book PDF

Author : M. Hadi Amini,Kianoosh G. Boroojeni,S.S. Iyengar,Panos M. Pardalos,Frede Blaabjerg,Asad M. Madni
Publisher : Springer
Page : 285 pages
File Size : 41,6 Mb
Release : 2018-02-23
Category : Technology & Engineering
ISBN : 9783319744124

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Sustainable Interdependent Networks by M. Hadi Amini,Kianoosh G. Boroojeni,S.S. Iyengar,Panos M. Pardalos,Frede Blaabjerg,Asad M. Madni Pdf

This book focuses on the theory and application of interdependent networks. The contributors consider the influential networks including power and energy networks, transportation networks, and social networks. The first part of the book provides the next generation sustainability framework as well as a comprehensive introduction of smart cities with special emphasis on energy, communication, data analytics and transportation. The second part offers solutions to performance and security challenges of developing interdependent networks in terms of networked control systems, scalable computation platforms, and dynamic social networks. The third part examines the role of electric vehicles in the future of sustainable interdependent networks. The fourth and last part of this volume addresses the promises of control and management techniques for the future power grids.

Encyclopedia of Data Science and Machine Learning

Wang, John
Encyclopedia of Data Science and Machine Learning Book PDF

Author : Wang, John
Publisher : IGI Global
Page : 3296 pages
File Size : 46,6 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781799892212

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Encyclopedia of Data Science and Machine Learning by Wang, John Pdf

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Modeling and Optimization in Software-Defined Networks

Konstantinos Poularakis,Leandros Tassiulas,T .V. Lakshman
Modeling and Optimization in Software Defined Networks Book PDF

Author : Konstantinos Poularakis,Leandros Tassiulas,T .V. Lakshman
Publisher : Morgan & Claypool Publishers
Page : 176 pages
File Size : 47,6 Mb
Release : 2021-10-04
Category : Computers
ISBN : 9781636391601

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Modeling and Optimization in Software-Defined Networks by Konstantinos Poularakis,Leandros Tassiulas,T .V. Lakshman Pdf

This book provides a quick reference and insights into modeling and optimization of software-defined networks (SDNs). It covers various algorithms and approaches that have been developed for optimizations related to the control plane, the considerable research related to data plane optimization, and topics that have significant potential for research and advances to the state-of-the-art in SDN. Over the past ten years, network programmability has transitioned from research concepts to more mainstream technology through the advent of technologies amenable to programmability such as service chaining, virtual network functions, and programmability of the data plane. However, the rapid development in SDN technologies has been the key driver behind its evolution. The logically centralized abstraction of network states enabled by SDN facilitates programmability and use of sophisticated optimization and control algorithms for enhancing network performance, policy management, and security.Furthermore, the centralized aggregation of network telemetry facilitates use of data-driven machine learning-based methods. To fully unleash the power of this new SDN paradigm, though, various architectural design, deployment, and operations questions need to be addressed. Associated with these are various modeling, resource allocation, and optimization opportunities.The book covers these opportunities and associated challenges, which represent a ``call to arms'' for the SDN community to develop new modeling and optimization methods that will complement or improve on the current norms.

Handbook of Optimization in Complex Networks

My T. Thai,Panos M. Pardalos
Handbook of Optimization in Complex Networks Book PDF

Author : My T. Thai,Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 546 pages
File Size : 55,9 Mb
Release : 2012-01-28
Category : Mathematics
ISBN : 9781461407546

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Handbook of Optimization in Complex Networks by My T. Thai,Panos M. Pardalos Pdf

Complex Social Networks is a newly emerging (hot) topic with applications in a variety of domains, such as communication networks, engineering networks, social networks, and biological networks. In the last decade, there has been an explosive growth of research on complex real-world networks, a theme that is becoming pervasive in many disciplines, ranging from mathematics and computer science to the social and biological sciences. Optimization of complex communication networks requires a deep understanding of the interplay between the dynamics of the physical network and the information dynamics within the network. Although there are a few books addressing social networks or complex networks, none of them has specially focused on the optimization perspective of studying these networks. This book provides the basic theory of complex networks with several new mathematical approaches and optimization techniques to design and analyze dynamic complex networks. A wide range of applications and optimization problems derived from research areas such as cellular and molecular chemistry, operations research, brain physiology, epidemiology, and ecology.