Innovative Trends in Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030782840
Total Pages : 295 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Innovative Trends in Computational Intelligence by : Ravi Tomar

Download or read book Innovative Trends in Computational Intelligence written by Ravi Tomar and published by Springer Nature. This book was released on 2021-11-29 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies.

New Trends in Computational Collective Intelligence

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Publisher : Springer
ISBN 13 : 3319107747
Total Pages : 210 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis New Trends in Computational Collective Intelligence by : David Camacho

Download or read book New Trends in Computational Collective Intelligence written by David Camacho and published by Springer. This book was released on 2014-09-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.

Recent Trends in Computational Intelligence Enabled Research

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Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya

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

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3319034049
Total Pages : 451 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms by : Bo Xing

Download or read book Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms written by Bo Xing and published by Springer Science & Business Media. This book was released on 2013-12-13 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first notable feature of this book is its innovation: Computational intelligence (CI), a fast evolving area, is currently attracting lots of researchers’ attention in dealing with many complex problems. At present, there are quite a lot competing books existing in the market. Nevertheless, the present book is markedly different from the existing books in that it presents new paradigms of CI that have rarely mentioned before, as opposed to the traditional CI techniques or methodologies employed in other books. During the past decade, a number of new CI algorithms are proposed. Unfortunately, they spread in a number of unrelated publishing directions which may hamper the use of such published resources. These provide us with motivation to analyze the existing research for categorizing and synthesizing it in a meaningful manner. The mission of this book is really important since those algorithms are going to be a new revolution in computer science. We hope it will stimulate the readers to make novel contributions or even start a new paradigm based on nature phenomena. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers and independent learners. We believe that the book will be instrumental in initiating an integrated approach to complex problems by allowing cross-fertilization of design principles from different design philosophies. The second feature of this book is its comprehensiveness: Through an extensive literature research, there are 134 innovative CI algorithms covered in this book.

New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 3031383443
Total Pages : 371 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence by : Daniel H. de la Iglesia

Download or read book New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence written by Daniel H. de la Iglesia and published by Springer Nature. This book was released on 2023-07-21 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023). Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world.

Advances in Computational Intelligence Systems

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Publisher : Springer
ISBN 13 : 3319979825
Total Pages : 394 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Advances in Computational Intelligence Systems by : Ahmad Lotfi

Download or read book Advances in Computational Intelligence Systems written by Ahmad Lotfi and published by Springer. This book was released on 2018-08-10 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends in and approaches to computational intelligence research and its application to intelligent systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, clustering and classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed contributions presented at the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018. The book puts a special emphasis on novel methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Computational Intelligence in Logistics and Supply Chain Management

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Publisher : Springer
ISBN 13 : 3319407228
Total Pages : 176 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Computational Intelligence in Logistics and Supply Chain Management by : Thomas Hanne

Download or read book Computational Intelligence in Logistics and Supply Chain Management written by Thomas Hanne and published by Springer. This book was released on 2016-07-27 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

Advances in Computational Intelligence Systems

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Publisher : Springer
ISBN 13 : 3319465627
Total Pages : 508 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Computational Intelligence Systems by : Plamen Angelov

Download or read book Advances in Computational Intelligence Systems written by Plamen Angelov and published by Springer. This book was released on 2016-09-06 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a timely report on advanced methods and applications of computational intelligence systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer-reviewed contributions presented at the 16th Annual UK Workshop on Computational Intelligence, held on September 7-9, 2016, in Lancaster, UK. The book puts a special emphasis on novels methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

New Trends in Business Information Systems and Technology

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Publisher : Springer Nature
ISBN 13 : 3030483320
Total Pages : 323 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis New Trends in Business Information Systems and Technology by : Rolf Dornberger

Download or read book New Trends in Business Information Systems and Technology written by Rolf Dornberger and published by Springer Nature. This book was released on 2020-07-07 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected examples of digitalization in the age of digital change. It is divided into two sections: “Digital Innovation,” which features new technologies that stimulate and enable new business opportunities; and “Digital Business Transformation,” comprising business and management concepts that employ specific technological solutions for their practical implementation. Combining new insights from research, teaching and management, including digital transformation, e-business, knowledge representation, human-computer interaction, and business optimization, the book highlights the breadth of research as well as its meaningful and relevant transfer into practice. It is intended for academics seeking inspiration, as well as for leaders wanting to tap the potential of the latest trends to take society and their business to the next level.

Disruptive Trends in Computer Aided Diagnosis

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Publisher : CRC Press
ISBN 13 : 1000414698
Total Pages : 219 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Disruptive Trends in Computer Aided Diagnosis by : Rik Das

Download or read book Disruptive Trends in Computer Aided Diagnosis written by Rik Das and published by CRC Press. This book was released on 2021-09-28 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners.

AI and Big Data’s Potential for Disruptive Innovation

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Publisher : IGI Global
ISBN 13 : 1522596895
Total Pages : 405 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis AI and Big Data’s Potential for Disruptive Innovation by : Strydom, Moses

Download or read book AI and Big Data’s Potential for Disruptive Innovation written by Strydom, Moses and published by IGI Global. This book was released on 2019-09-27 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

New Trends in Computational Vision and Bio-inspired Computing

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Publisher : Springer Nature
ISBN 13 : 3030418626
Total Pages : 1664 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis New Trends in Computational Vision and Bio-inspired Computing by : S. Smys

Download or read book New Trends in Computational Vision and Bio-inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2020-09-27 with total page 1664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.

Computational Intelligence Paradigms

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Publisher : Springer
ISBN 13 : 3540794743
Total Pages : 281 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence Paradigms by : Mika Sato-Ilic

Download or read book Computational Intelligence Paradigms written by Mika Sato-Ilic and published by Springer. This book was released on 2008-06-17 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.

Computational Collective Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030630072
Total Pages : 908 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Collective Intelligence by : Ngoc Thanh Nguyen

Download or read book Computational Collective Intelligence written by Ngoc Thanh Nguyen and published by Springer Nature. This book was released on 2020-11-23 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.

Emerging Trends in Information Systems

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Publisher : Springer
ISBN 13 : 3319239295
Total Pages : 135 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Emerging Trends in Information Systems by : Jörg Becker

Download or read book Emerging Trends in Information Systems written by Jörg Becker and published by Springer. This book was released on 2015-11-25 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and discusses the most recent innovations, trends, results, experiences and concerns with regard to information systems. Individual chapters focus on IT for facility management, process management and applications, corporate information systems, design and manufacturing automation. The book includes new findings on software engineering, industrial internet, engineering cloud and advance BPM methods. It presents the latest research on intelligent information systems, computational intelligence methods in Information Systems and new trends in Business Process Management, making it a valuable resource for both researchers and practitioners looking to expand their information systems expertise.

New Trends in Technologies

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 953307213X
Total Pages : 452 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis New Trends in Technologies by : Er Meng Joo

Download or read book New Trends in Technologies written by Er Meng Joo and published by BoD – Books on Demand. This book was released on 2010-11-02 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: The grandest accomplishments of engineering took place in the twentieth century. The widespread development and distribution of electricity and clean water, automobiles and airplanes, radio and television, spacecraft and lasers, antibiotics and medical imaging, computers and the Internet are just some of the highlights from a century in which engineering revolutionized and improved virtually every aspect of human life. In this book, the authors provide a glimpse of the new trends of technologies pertaining to control, management, computational intelligence and network systems.

Computational Intelligence and Decision Making

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Publisher : Springer
ISBN 13 : 9789400747234
Total Pages : 502 pages
Book Rating : 4.7/5 (472 download)

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Book Synopsis Computational Intelligence and Decision Making by : Ana Madureira

Download or read book Computational Intelligence and Decision Making written by Ana Madureira and published by Springer. This book was released on 2012-11-08 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and present recent, original insights from their own experience in these fields.