Computational Intelligence And Efficiency In Engineering Systems

Author : Grzegorz Borowik
Publisher :
ISBN 13 : 9783319157214
Total Pages : pages
Book Rating : 4.13/5 ( download)

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Download or read book Computational Intelligence and Efficiency in Engineering Systems written by Grzegorz Borowik and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited and reviewed volume addresses the increasingly popular demand for seeking more clarity in the data that we are immersed in. It offers excellent examples of the intelligent ubiquitous computation, as well as recent advances in systems engineering and informatics. The content represents state-of-the-art foundations for researchers in the domain of modern computation, computer science, system engineering and networking, with many examples that are set in industrial application context. The book includes the carefully selected best contributions to APCASE 2014, the 2nd Asia-Pacific Conference on Computer Aided System Engineering, held February 10-12, 2014 in South Kuta, Bali, Indonesia. The book consists of four main parts that cover data-oriented engineering science research in a wide range of applications: computational models and knowledge discovery; communications networks and cloud computing; computer-based systems; and data-oriented and software-intensive systems.

Author : Ana Madureira
Publisher : Springer Science & Business Media
ISBN 13 : 9400700938
Total Pages : 202 pages
Book Rating : 4.32/5 ( download)

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Download or read book Computational Intelligence for Engineering Systems written by Ana Madureira and published by Springer Science & Business Media. This book was released on 2010-11-23 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology. Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.

Author : Grzegorz Borowik
Publisher : Springer
ISBN 13 : 3319157205
Total Pages : 435 pages
Book Rating : 4.07/5 ( download)

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Download or read book Computational Intelligence and Efficiency in Engineering Systems written by Grzegorz Borowik and published by Springer. This book was released on 2015-03-10 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited and reviewed volume addresses the increasingly popular demand for seeking more clarity in the data that we are immersed in. It offers excellent examples of the intelligent ubiquitous computation, as well as recent advances in systems engineering and informatics. The content represents state-of-the-art foundations for researchers in the domain of modern computation, computer science, system engineering and networking, with many examples that are set in industrial application context. The book includes the carefully selected best contributions to APCASE 2014, the 2nd Asia-Pacific Conference on Computer Aided System Engineering, held February 10-12, 2014 in South Kuta, Bali, Indonesia. The book consists of four main parts that cover data-oriented engineering science research in a wide range of applications: computational models and knowledge discovery; communications networks and cloud computing; computer-based systems; and data-oriented and software-intensive systems.

Author : Subhransu Sekhar Dash
Publisher : Springer Nature
ISBN 13 : 9811501998
Total Pages : 781 pages
Book Rating : 4.99/5 ( download)

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Download or read book Artificial Intelligence and Evolutionary Computations in Engineering Systems written by Subhransu Sekhar Dash and published by Springer Nature. This book was released on 2020-02-08 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Author : Coen van Gulijk
Publisher : Springer Nature
ISBN 13 : 3030745562
Total Pages : 307 pages
Book Rating : 4.61/5 ( download)

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Download or read book Reliability Engineering and Computational Intelligence written by Coen van Gulijk and published by Springer Nature. This book was released on 2021-08-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

Author :
Publisher :
ISBN 13 :
Total Pages : 330 pages
Book Rating : 4.50/5 ( download)

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Download or read book Computational Intelligence and Its Impact on Future High-performance Engineering Systems written by and published by . This book was released on 1996 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Subhransu Sekhar Dash
Publisher : Springer
ISBN 13 : 9811031746
Total Pages : 842 pages
Book Rating : 4.48/5 ( download)

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Download or read book Artificial Intelligence and Evolutionary Computations in Engineering Systems written by Subhransu Sekhar Dash and published by Springer. This book was released on 2017-07-11 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India. This conference is an international forum for industry professionals and researchers to deliberate and state their research findings, discuss the latest advancements and explore the future directions in the emerging areas of engineering and technology. The book presents original work and novel ideas, information, techniques and applications in the field of communication, computing and power technologies.

Author : S. Chandramohan
Publisher : Springer Nature
ISBN 13 : 981162674X
Total Pages : 396 pages
Book Rating : 4.46/5 ( download)

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Download or read book Artificial Intelligence and Evolutionary Computations in Engineering Systems written by S. Chandramohan and published by Springer Nature. This book was released on 2021-08-18 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Author : Subhransu Sekhar Dash
Publisher : Springer
ISBN 13 : 9811078688
Total Pages : 735 pages
Book Rating : 4.82/5 ( download)

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Download or read book Artificial Intelligence and Evolutionary Computations in Engineering Systems written by Subhransu Sekhar Dash and published by Springer. This book was released on 2018-03-19 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.94/5 ( download)

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Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques