System Analysis and Artificial Intelligence

System Analysis and Artificial Intelligence

Author: Michael Zgurovsky

Publisher: Springer Nature

Published: 2023-08-28

Total Pages: 468

ISBN-13: 3031374509

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This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.


Book Synopsis System Analysis and Artificial Intelligence by : Michael Zgurovsky

Download or read book System Analysis and Artificial Intelligence written by Michael Zgurovsky and published by Springer Nature. This book was released on 2023-08-28 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

Author: Aboul Ella Hassanien

Publisher: Springer Nature

Published: 2020-08-31

Total Pages: 310

ISBN-13: 3030519201

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This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.


Book Synopsis Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications by : Aboul Ella Hassanien

Download or read book Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-08-31 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

System Analysis and Artificial Intelligence

System Analysis and Artificial Intelligence

Author: Michael Zgurovsky

Publisher: Springer

Published: 2023-09-15

Total Pages: 0

ISBN-13: 9783031374494

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This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.


Book Synopsis System Analysis and Artificial Intelligence by : Michael Zgurovsky

Download or read book System Analysis and Artificial Intelligence written by Michael Zgurovsky and published by Springer. This book was released on 2023-09-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of human activity. The tools and methods presented in the book are continuously evolving and finding new applications across various fields, contributing to advancements and efficiencies in different industries: healthcare, finance, retail and E-commerce, manufacturing and industrial automation, transportation and logistics advancements and cybersecurity. The results of the book are useful to teachers, scientists, graduate students of universities and managers of large companies specializing in strategic planning, engineering design of complex systems, decision-making, optimization of operations and other related fields of knowledge and practice.

System Analysis in Engineering and Control

System Analysis in Engineering and Control

Author: Yuriy S. Vasiliev

Publisher: Springer Nature

Published: 2022-04-16

Total Pages: 619

ISBN-13: 3030988325

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This book covers the results of research that has been obtained during the last decades by scholars representing several scientific schools working in the field of theory of systems and system analysis. In the book chapters, attention is paid to the development of the general theory of systems’ provisions, approaches, models, and methods of system analysis; such as the concepts of an open system and adaptive systems; the concepts of “the movable equilibrium” and “disequilibrium”, the approach of “growing” the system and its developing through innovations; the system-target approach, systems’ regularities; ontological, cognitive and logical-linguistic models of systems, etc. The book includes parts devoted to the general theoretical and philosophical-methodological problems of systems theory; methods and models of system analysis; innovation technologies in technical and socioeconomic systems; system analyses in the educational process, and higher education management. The materials of the book may be of interest to researchers and specialists working in the field of systems analysis, engineering, computer technologies, including human–computer interaction in socio-technical systems; for the representatives of the academic and engineering society.


Book Synopsis System Analysis in Engineering and Control by : Yuriy S. Vasiliev

Download or read book System Analysis in Engineering and Control written by Yuriy S. Vasiliev and published by Springer Nature. This book was released on 2022-04-16 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the results of research that has been obtained during the last decades by scholars representing several scientific schools working in the field of theory of systems and system analysis. In the book chapters, attention is paid to the development of the general theory of systems’ provisions, approaches, models, and methods of system analysis; such as the concepts of an open system and adaptive systems; the concepts of “the movable equilibrium” and “disequilibrium”, the approach of “growing” the system and its developing through innovations; the system-target approach, systems’ regularities; ontological, cognitive and logical-linguistic models of systems, etc. The book includes parts devoted to the general theoretical and philosophical-methodological problems of systems theory; methods and models of system analysis; innovation technologies in technical and socioeconomic systems; system analyses in the educational process, and higher education management. The materials of the book may be of interest to researchers and specialists working in the field of systems analysis, engineering, computer technologies, including human–computer interaction in socio-technical systems; for the representatives of the academic and engineering society.

Essence of Systems Analysis and Design

Essence of Systems Analysis and Design

Author: Priti Srinivas Sajja

Publisher: Springer

Published: 2017-08-04

Total Pages: 148

ISBN-13: 9811051283

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The main objective is to provide quick and essential knowledge for the subject with the help of summary and solved questions /case studies without going into detailed discussion. This book will be much helpful for the students as a supplementary text/workbook; and to the non-computer professionals, who deal with the systems analysis and design as part of their business. Such problem solving approach will be able to provide practical knowledge of the subject and similar learning output, without going into lengthy discussions. Though the book is conceived as supplementary text/workbook; the topics are selected and arranged in such a way that it can provide complete and sufficient knowledge of the subject.


Book Synopsis Essence of Systems Analysis and Design by : Priti Srinivas Sajja

Download or read book Essence of Systems Analysis and Design written by Priti Srinivas Sajja and published by Springer. This book was released on 2017-08-04 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective is to provide quick and essential knowledge for the subject with the help of summary and solved questions /case studies without going into detailed discussion. This book will be much helpful for the students as a supplementary text/workbook; and to the non-computer professionals, who deal with the systems analysis and design as part of their business. Such problem solving approach will be able to provide practical knowledge of the subject and similar learning output, without going into lengthy discussions. Though the book is conceived as supplementary text/workbook; the topics are selected and arranged in such a way that it can provide complete and sufficient knowledge of the subject.

Artificial Intelligence Techniques in Power Systems Operations and Analysis

Artificial Intelligence Techniques in Power Systems Operations and Analysis

Author: Nagendra Singh

Publisher: CRC Press

Published: 2023-08-16

Total Pages: 207

ISBN-13: 1000921794

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An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation


Book Synopsis Artificial Intelligence Techniques in Power Systems Operations and Analysis by : Nagendra Singh

Download or read book Artificial Intelligence Techniques in Power Systems Operations and Analysis written by Nagendra Singh and published by CRC Press. This book was released on 2023-08-16 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties. Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering. Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies. Highlights include: Power quality enhancement by PV-UPQC for non-linear load Energy management of a nanogrid through flair of deep learning from IoT environments Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis AC power optimization techniques Artificial intelligence and machine learning techniques in power systems automation

Computational Systems Analysis

Computational Systems Analysis

Author: Achim Sydow

Publisher: Elsevier Publishing Company

Published: 1992

Total Pages: 476

ISBN-13:

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The impetus to publish this handbook dates back to the Berlin Symposium on Systems Analysis and Simulation in 1988. At that time one could state the close relation between the task of analysing complex systems and the development of simulation software tools. The controlling influence of systems research provides systems analysts with powerful simulation tools supporting the modelling process itself as well as the experimental phase with the simulated model. System Analysis by means of such extended simulation tools here is named briefly Computational Systems Analysis. It connects systems theory, numerical mathematics, control and decisions sciences, and application sciences like biology, economy, and others on the base of computer technique to investigate special systems and to find control strategies.


Book Synopsis Computational Systems Analysis by : Achim Sydow

Download or read book Computational Systems Analysis written by Achim Sydow and published by Elsevier Publishing Company. This book was released on 1992 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impetus to publish this handbook dates back to the Berlin Symposium on Systems Analysis and Simulation in 1988. At that time one could state the close relation between the task of analysing complex systems and the development of simulation software tools. The controlling influence of systems research provides systems analysts with powerful simulation tools supporting the modelling process itself as well as the experimental phase with the simulated model. System Analysis by means of such extended simulation tools here is named briefly Computational Systems Analysis. It connects systems theory, numerical mathematics, control and decisions sciences, and application sciences like biology, economy, and others on the base of computer technique to investigate special systems and to find control strategies.

Computer Aided Verification

Computer Aided Verification

Author: Isil Dillig

Publisher: Springer

Published: 2019-07-12

Total Pages: 680

ISBN-13: 3030255409

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This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency.


Book Synopsis Computer Aided Verification by : Isil Dillig

Download or read book Computer Aided Verification written by Isil Dillig and published by Springer. This book was released on 2019-07-12 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency.

Adaptation in Natural and Artificial Systems

Adaptation in Natural and Artificial Systems

Author: John H. Holland

Publisher: MIT Press

Published: 1992-04-29

Total Pages: 236

ISBN-13: 9780262581110

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Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.


Book Synopsis Adaptation in Natural and Artificial Systems by : John H. Holland

Download or read book Adaptation in Natural and Artificial Systems written by John H. Holland and published by MIT Press. This book was released on 1992-04-29 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Artificial Intelligence Paradigms for Smart Cyber-Physical Systems

Author: Luhach, Ashish Kumar

Publisher: IGI Global

Published: 2020-11-13

Total Pages: 392

ISBN-13: 1799851028

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Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.


Book Synopsis Artificial Intelligence Paradigms for Smart Cyber-Physical Systems by : Luhach, Ashish Kumar

Download or read book Artificial Intelligence Paradigms for Smart Cyber-Physical Systems written by Luhach, Ashish Kumar and published by IGI Global. This book was released on 2020-11-13 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.