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Maria Virvou - Advances in Artificial Intelligence-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis―Vol. 1: 22

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Maria Virvou Advances in Artificial Intelligence-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis―Vol. 1: 22

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With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, Society 5.0, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society.

The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling.

This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

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Book cover of Advances in Artificial Intelligence-based Technologies Volume - photo 1
Book cover of Advances in Artificial Intelligence-based Technologies
Volume 22
Learning and Analytics in Intelligent Systems
Series Editors
George A. Tsihrintzis
University of Piraeus, Piraeus, Greece
Maria Virvou
University of Piraeus, Piraeus, Greece
Lakhmi C. Jain
Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia
KES International, Shoreham-by-Sea, UK
Liverpool Hope University, Liverpool, UK

The main aim of the series is to make available a publication of books in hard copy form and soft copy form on all aspects of learning, analytics and advanced intelligent systems and related technologies. The mentioned disciplines are strongly related and complement one another significantly. Thus, the series encourages cross-fertilization highlighting research and knowledge of common interest. The series allows a unified/integrated approach to themes and topics in these scientific disciplines which will result in significant cross-fertilization and research dissemination. To maximize dissemination of research results and knowledge in these disciplines, the series publishes edited books, monographs, handbooks, textbooks and conference proceedings.

More information about this series at http://www.springer.com/series/16172

Editors
Maria Virvou , George A. Tsihrintzis , Lefteri H. Tsoukalas and Lakhmi C. Jain
Advances in Artificial Intelligence-based Technologies
Selected Papers in Honour of Professor Nikolaos G. BourbakisVol. 1
1st ed. 2022
Logo of the publisher Editors Maria Virvou Department of Informatics - photo 2
Logo of the publisher
Editors
Maria Virvou
Department of Informatics, University of Piraeus, Piraeus, Greece
George A. Tsihrintzis
Department of Informatics, University of Piraeus, Piraeus, Greece
Lefteri H. Tsoukalas
Director of Applied Intelligent Systems Laboratory, Department of Nuclear Engineering, Purdue University, West Lafayette, IN, USA
Lakhmi C. Jain
KES International, Shoreham-by-Sea, UK
University of Technology Sydney, Sydney, Australia
Liverpool HopeUniversity, Liverpool, UK
ISSN 2662-3447 e-ISSN 2662-3455
Learning and Analytics in Intelligent Systems
ISBN 978-3-030-80570-8 e-ISBN 978-3-030-80571-5
https://doi.org/10.1007/978-3-030-80571-5
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Foreword

Artificial Intelligence (AI) is the science that studies the evolution and behavior of intelligent systems.

The central goal of Artificial Intelligence is not only to integrate intelligence into computers, but rather to turn computers into more useful machines. The scientific field of Artificial Intelligence is neither new nor easy to outline and define. It can be found in the connection of many concepts, such as perception, knowledge, logic, and processes (learning, decision, planning, etc.) in an attempt to understand the principles and theories that allow intelligence and their transformation into algorithmic processes. As an interdisciplinary academic field, it has appeared as early as 1950 [1,2]. Since then, its evolution has not been linear, as it has often relied on and expanded upon many and diverse other disciplines, including optimization theory and practice, decision-making, mathematical theories of fuzzy logic and statistics, neurobiology and paradigms of biological intelligence, psychology, cognition, pedagogical theories, and philosophy. In its course through the past six decades, Artificial Intelligence has met with success but also disappointment due to misconception of its complexity and the high expectations of users and industry [24]. While in many cases Artificial Intelligence achieves a performance significantly superior to that of humans, especially in the association of multiple data sets and mining, its advances still place technology very far away from building machines with the capacity to understand or learn any intellectual task that a human being can and even further away from building machines that can experience consciousness and emotionality [2].

Recently, the entire field of Artificial Intelligence is pressed toward further research and development following important and evolving new technological advancements in big data, mobile software applications and smartphones, Internet of Things, Computer Vision, business, manufacturing, and applications in essentially all sorts of human activities and professions. Because of the enormous pace of growth in new theories and application areas and high rates of success, Artificial Intelligence-based Technologies are already having a major impact on the society itself and affect positively our daily lives [36]. Undoubtedly, an impact of this magnitude also includes risks and threats in security, privacy, safety, transparency, business, competition, the job market, fundamental rights, democracy, or even human existence itself [710]. Artificial Intelligence-based Technologies need to be developed under careful human supervision and by highly qualified scientists who understand the associated risks and threats.

Professor Nikolaos G. Bourbakis certainly qualifies as a world-outstanding researcher in various fields of Artificial Intelligence which he has been serving from various posts for almost fifty years now. Holding a B.S. degree in Mathematics from the National and Kapodistrian University of Athens, Greece, a Certificate in Electrical Engineering from the University of Patras, Greece, and a Ph.D. degree in Computer Engineering and Informatics (awarded with excellence) from the Department of Computer Engineering & Informatics, University of Patras, Greece, he is currently a Distinguished Professor of Information & Technology and the Director of the Center of Assistive Research Technologies (CART) at Wright State University, Ohio, USA. For his many achievements in Artificial Intelligence-based Technologies, he has received many distinctions and awards, including elevation to IEEE Fellow (1996); IEEE Computer Society Technical Research Achievement Award; Member of the New York Academy of Sciences; Diploma of Honor in Artificial Intelligence, School of Engineering, University of Patras, Greece; ASC Outstanding Scientists & Engineers Research Award; Dr. F. Russ IEEE Biomedical Engineering Award, Dayton Ohio; Recognition Award for Outstanding Scholarly Achievements and Contributions in the field of Computer Science, University of Piraeus, Greece; IEEE EMBS-GR Award of Achievements; IEEE Computer Society 30 years ICTAI Outstanding Service & Leadership Recognition; Honorary Doctorate Degree of the University of Piraeus, Greece (2020).

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