Advancing Intelligent Networks Through Distributed Optimization

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Advancing Intelligent Networks Through Distributed Optimization

Author : Rajest, S. Suman
Publisher : IGI Global
ISBN 13 :
Total Pages : 618 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Advancing Intelligent Networks Through Distributed Optimization by : Rajest, S. Suman

Download or read book Advancing Intelligent Networks Through Distributed Optimization written by Rajest, S. Suman and published by IGI Global. This book was released on 2024-08-29 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The numerous developments in wireless communications and artificial intelligence (AI) have recently transformed the Internet of Things (IoT) networks to a level of connectivity and intelligence beyond any prior design. This topology is sharply exemplified in mobile edge computing, smart cities, smart homes, smart grids, and the IoT, among many other intelligent applications. Intelligent networks are founded on integrating caching and multi-agent systems that optimize data storage and the entire devices learning process. However, a central node through which all agents transmit status messages and reward information is a major drawback of this design pattern. This central node condition instigates more communication overhead, potential data leakage, and the birth of data islands. To reverse this trend, using distributed optimization techniques and methodologies in cache-enabled multi-agent learning environments is increasingly beneficial. Advancing Intelligent Networks Through Distributed Optimization explains the current race for sophisticated and accurate distributed optimization in cache-enabled intelligent IoT networks given the need to make multi-agent learning converge faster and reduce communication overhead. These techniques will require innovative resource allocation strategies stretching from system training to caching, communication, and processing amongst millions of agents. This book combines the key recent research in these races into a single binder that can serve all the interested theoretical and practical scholars. The book focuses broadly on intelligent systems optimization trends. It identifies the various applications of advanced distributed optimization from manufacturing to medicine, agriculture and smart cities.

Distributed Optimization for Smart Cyber-Physical Networks

Author : Giuseppe Notarstefano
Publisher :
ISBN 13 : 9781680836189
Total Pages : 148 pages
Book Rating : 4.8/5 (361 download)

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Book Synopsis Distributed Optimization for Smart Cyber-Physical Networks by : Giuseppe Notarstefano

Download or read book Distributed Optimization for Smart Cyber-Physical Networks written by Giuseppe Notarstefano and published by . This book was released on 2019-12-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an increasingly connected world, the term cyber-physical networks has been coined to refer to the communication among devices that is turning smart devices into smart (cooperating) systems. The distinctive feature of such systems is that significant advantage can be obtained if its interconnected, complex nature is exploited. Several challenges arising in cyber-physical networks can be stated as optimization problems. Examples are estimation, decision, learning and control applications. In cyber-physical networks, the goal is to design algorithms, based on the exchange of information among the processors, that take advantage of the aggregated computational power. Distributed Optimization for Smart Cyber-Physical Networks provides a comprehensive overview of the most common approaches used to design distributed optimization algorithms, together with the theoretical analysis of the main schemes in their basic version. It identifies and formalizes classes of problem set-ups that arise in motivating application scenarios. For each set-up, in order to give the main tools for analysis, tailored distributed algorithms in simplified cases are reviewed. Extensions and generalizations of the basic schemes are also discussed at the end of each chapter. Distributed Optimization for Smart Cyber-Physical Networks provides the reader with an accessible overview of the current research and gives important pointers towards new developments. It is an excellent starting point for research and students unfamiliar with the topic.

Distributed Optimization and Learning

Author : Zhongguo Li
Publisher : Elsevier
ISBN 13 : 0443216371
Total Pages : 288 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Distributed Optimization and Learning by : Zhongguo Li

Download or read book Distributed Optimization and Learning written by Zhongguo Li and published by Elsevier. This book was released on 2024-08-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes. Provides a series of the latest results, including but not limited to, distributed cooperative and competitive optimization, machine learning, and optimal resource allocation Presents the most recent advances in theory and applications of distributed optimization and machine learning, including insightful connections to traditional control techniques Offers numerical and simulation results in each chapter in order to reflect engineering practice and demonstrate the main focus of developed analysis and synthesis approaches

Optimization, Learning, and Control for Interdependent Complex Networks

Author : M. Hadi Amini
Publisher : Springer Nature
ISBN 13 : 3030340945
Total Pages : 306 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Optimization, Learning, and Control for Interdependent Complex Networks by : M. Hadi Amini

Download or read book Optimization, Learning, and Control for Interdependent Complex Networks written by M. Hadi Amini and published by Springer Nature. This book was released on 2020-02-22 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Distributed Optimization: Advances in Theories, Methods, and Applications

Author : Huaqing Li
Publisher : Springer Nature
ISBN 13 : 9811561095
Total Pages : 243 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Distributed Optimization: Advances in Theories, Methods, and Applications by : Huaqing Li

Download or read book Distributed Optimization: Advances in Theories, Methods, and Applications written by Huaqing Li and published by Springer Nature. This book was released on 2020-08-04 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, from a communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.

Distributed Computing and Artificial Intelligence, 14th International Conference

Author : Sigeru Omatu
Publisher : Springer
ISBN 13 : 3319624105
Total Pages : 357 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Distributed Computing and Artificial Intelligence, 14th International Conference by : Sigeru Omatu

Download or read book Distributed Computing and Artificial Intelligence, 14th International Conference written by Sigeru Omatu and published by Springer. This book was released on 2017-06-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 14th International Symposium on Distributed Computing and Artificial Intelligence 2017 (DCAI 2017) provided a forum for presenting the application of innovative techniques to study and solve complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to advancing the development of systems that can meet the ever-growing demands of today’s society. The book brings together past experience, current work and promising future trends in distributed computing, artificial intelligence and their applications to efficiently solve real-world problems. It combines contributions in well-established and evolving areas of research, including the content of the DCAI 17 Special Sessions, which focused on multi-disciplinary and transversal aspects, such as AI-driven methods for multimodal networks and processes modeling, and secure management towards smart buildings and smart grids. The symposium was jointly organized by the Polytechnic of Porto, the Osaka Institute of Technology and the University of Salamanca. The latest event was held in Porto, Portugal, from 21st to 23rd June 2017.

Distributed Sensing and Intelligent Systems

Author : Mohamed Elhoseny
Publisher : Springer Nature
ISBN 13 : 3030642585
Total Pages : 841 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Distributed Sensing and Intelligent Systems by : Mohamed Elhoseny

Download or read book Distributed Sensing and Intelligent Systems written by Mohamed Elhoseny and published by Springer Nature. This book was released on 2022-06-27 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators.

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3540859845
Total Pages : 1277 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence by : De-Shuang Huang

Download or read book Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence written by De-Shuang Huang and published by Springer. This book was released on 2008-09-08 with total page 1277 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues

Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3540741712
Total Pages : 1402 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues by : De-Shuang Huang

Download or read book Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues written by De-Shuang Huang and published by Springer. This book was released on 2007-07-31 with total page 1402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, in conjunction with the two volumes CICS 0002 and LNAI 4682, constitutes the refereed proceedings of the Third International Conference on Intelligent Computing held in Qingdao, China, in August 2007. The 139 full papers published here were carefully reviewed and selected from among 2,875 submissions. Collectively, these papers represent some of the most important findings and insights into the field of intelligent computing.

Advanced Information Networking and Applications

Author : Leonard Barolli
Publisher : Springer
ISBN 13 : 3030150321
Total Pages : 1357 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advanced Information Networking and Applications by : Leonard Barolli

Download or read book Advanced Information Networking and Applications written by Leonard Barolli and published by Springer. This book was released on 2019-03-14 with total page 1357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications. Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing and information systems.

Distributed Optimization, Game and Learning Algorithms

Author : Huiwei Wang
Publisher : Springer Nature
ISBN 13 : 9813345284
Total Pages : 227 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Distributed Optimization, Game and Learning Algorithms by : Huiwei Wang

Download or read book Distributed Optimization, Game and Learning Algorithms written by Huiwei Wang and published by Springer Nature. This book was released on 2021-01-04 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.

Meta-Heuristic Algorithms for Advanced Distributed Systems

Author : Rohit Anand
Publisher : John Wiley & Sons
ISBN 13 : 1394188080
Total Pages : 469 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Meta-Heuristic Algorithms for Advanced Distributed Systems by : Rohit Anand

Download or read book Meta-Heuristic Algorithms for Advanced Distributed Systems written by Rohit Anand and published by John Wiley & Sons. This book was released on 2024-03-12 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Meta-Heuristic Algorithms for Advanced Distributed Systems

Author : Rohit Anand
Publisher : John Wiley & Sons
ISBN 13 : 1394188064
Total Pages : 469 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Meta-Heuristic Algorithms for Advanced Distributed Systems by : Rohit Anand

Download or read book Meta-Heuristic Algorithms for Advanced Distributed Systems written by Rohit Anand and published by John Wiley & Sons. This book was released on 2024-04-02 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Advanced Methods and Applications in Computational Intelligence

Author : Ryszard Klempous
Publisher : Springer Science & Business Media
ISBN 13 : 3319014366
Total Pages : 412 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Advanced Methods and Applications in Computational Intelligence by : Ryszard Klempous

Download or read book Advanced Methods and Applications in Computational Intelligence written by Ryszard Klempous and published by Springer Science & Business Media. This book was released on 2013-07-20 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extended versions of selected papers presented at the inaugural ACASE 2012 Conference dedicated to the Applications of Systems Engineering. This conference was held from the 6th to the 8th of February 2012, at the University of Technology, Sydney, Australia, organized by the University of Technology, Sydney (Australia), Wroclaw University of Technology (Poland) and the University of Applied Sciences in Hagenberg (Austria). The book is organized into three main parts. Part I contains papers devoted to the heuristic approaches that are applicable in situations where the problem cannot be solved by exact methods, due to various characteristics or dimensionality problems. Part II covers essential issues of the network management, presents intelligent models of the next generation of networks and distributed systems as well as discusses applications of modern numerical methods in large intractable systems. Part III covers salient issues of complexity in intelligent system applications. This part also contains papers and articles which discuss concurrency issues that arise when multiple systems attempt to use the same radio space and the inter-connected system applications in the field of medical simulation and training.

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)

Author : Mostafa Ezziyyani
Publisher : Springer Nature
ISBN 13 : 3030331032
Total Pages : 312 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) by : Mostafa Ezziyyani

Download or read book Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) written by Mostafa Ezziyyani and published by Springer Nature. This book was released on 2019-10-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents extended versions of papers on advanced intelligent systems for networks and system selected from the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), which was held on 8–11 July 2019 in Marrakech, Morocco. The book explores a number of aspects of networks and systems design issues, and focuses on the latest research developments in a number of areas, including various aspects of modern networking such as smart networked systems, network protocols and performance, security and privacy, mobile and wireless systems, Internet of things, artificial intelligence and expert systems, and cloud computing, as well as enabling technologies. The book also examines the area of intelligence, comprehensively examining a range of important topics like intelligent collaborative systems for work and learning, security, organization, management and autonomic computing for intelligent networking and collaborative systems, wireless and sensor systems for intelligent networking and collaborative systems, data mining and knowledge management for intelligent networking and collaborative systems, data for Internet of things, and cloud computing. Each chapter presents the state of the art in a specific topic as well as the results of research and laboratory experiments, and successful applications. The book is intended for academic and industry researchers and telecommunication network engineers wanting to gain insights into these areas, particularly in the context of Industry 4.0.

Advanced Topics in Artificial Intelligence

Author : Norman Foo
Publisher : Springer
ISBN 13 : 3540466959
Total Pages : 518 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advanced Topics in Artificial Intelligence by : Norman Foo

Download or read book Advanced Topics in Artificial Intelligence written by Norman Foo and published by Springer. This book was released on 2007-12-07 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 12th Australian Joint Conference on Artificial Intelligence (AI'QQ) held in Sydney, Australia, 6-10 December 1999, is the latest in a series of annual re gional meetings at which advances in artificial intelligence are reported. This series now attracts many international papers, and indeed the constitution of the program committee reflects this geographical diversity. Besides the usual tutorials and workshops, this year the conference included a companion sympo sium at which papers on industrial appUcations were presented. The symposium papers have been published in a separate volume edited by Eric Tsui. Ar99 is organized by the University of New South Wales, and sponsored by the Aus tralian Computer Society, the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Computer Sciences Corporation, the KRRU group at Griffith University, the Australian Artificial Intelligence Institute, and Neuron- Works Ltd. Ar99 received over 120 conference paper submissions, of which about o- third were from outside Australia. Prom these, 39 were accepted for regular presentation, and a further 15 for poster display. These proceedings contain the full regular papers and extended summaries of the poster papers. All papers were refereed, mostly by two or three reviewers selected by members of the program committee, and a list of these reviewers appears later. The technical program comprised two days of workshops and tutorials, fol lowed by three days of conference and symposium plenary and paper sessions.

Advanced Intelligent Technologies for Information and Communication

Author : Kazumi Nakamatsu
Publisher : Springer Nature
ISBN 13 : 9819952034
Total Pages : 445 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Advanced Intelligent Technologies for Information and Communication by : Kazumi Nakamatsu

Download or read book Advanced Intelligent Technologies for Information and Communication written by Kazumi Nakamatsu and published by Springer Nature. This book was released on 2023-10-28 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes new research results of scholars from the Third International Conference on Advanced Intelligent Technologies (ICAIT 2022) organized by IRNet International Academic Communication Center, held during October 28–30, 2022. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, and business. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.