Challenging Problems and Solutions in Intelligent Systems
Challenging Problems and Solutions in Intelligent Systems

Author: Guy de Trė

Publisher: Springer

Published: 2016-03-25

Total Pages: 345

ISBN-13: 3319301659

DOWNLOAD EBOOK

This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, intelligent data analysis, (group) decision support systems, intelligent agents and multi-agent systems, knowledge-based systems, imprecision and uncertainty handling, electronic commerce, distributed systems, etc. The book defines a common ground for sometimes seemingly disparate problems and addresses them by using the paradigm of broadly perceived intelligent systems. It presents a broad panorama of a multitude of theoretical and practical problems which have been successfully dealt with using the paradigm of intelligent computing.

Issues and Challenges of Intelligent Systems and Computational Intelligence
Issues and Challenges of Intelligent Systems and Computational Intelligence

Author: László T. Kóczy

Publisher: Springer

Published: 2014-01-11

Total Pages: 318

ISBN-13: 3319032062

DOWNLOAD EBOOK

This carefully edited book contains contributions of prominent and active researchers and scholars in the broadly perceived area of intelligent systems. The book is unique both with respect to the width of coverage of tools and techniques, and to the variety of problems that could be solved by the tools and techniques presented. The editors have been able to gather a very good collection of relevant and original papers by prominent representatives of many areas, relevant both to the theory and practice of intelligent systems, artificial intelligence, computational intelligence, soft computing, and the like. The contributions have been divided into 7 parts presenting first more fundamental and theoretical contributions, and then applications in relevant areas.

Contemporary Challenges and Solutions in Applied Artificial Intelligence
Contemporary Challenges and Solutions in Applied Artificial Intelligence

Author: Moonis Ali

Publisher: Springer

Published: 2013-05-09

Total Pages: 219

ISBN-13: 3319006517

DOWNLOAD EBOOK

Since its origination in the mid-twentieth century, the area of Artificial Intelligence (AI) has undergone a number of developments. While the early interest in AI was mainly triggered by the desire to develop artifacts that show the same intelligent behavior as humans, nowadays scientists have realized that research in AI involves a multitude of separate challenges, besides the traditional goal to replicate human intelligence. In particular, recent history has pointed out that a variety of ‘intelligent’ computational techniques, part of which are inspired by human intelligence, may be successfully applied to solve all kinds of practical problems. This sub-area of AI, which has its main emphasis on applications of intelligent systems to solve real-life problems, is currently known under the term Applied Intelligence. The objective of the International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE) is to promote and disseminate recent research developments in Applied Intelligence. The current book contains 30 chapters authored by participants of the 26th edition of IEA/AIE, which was held in Amsterdam, the Netherlands. The material of each chapter is self-contained and was reviewed by at least two anonymous referees, to assure a high quality. Readers can select any individual chapter based on their research interests without the need of reading other chapters. We are confident that this book provides useful reference values to researchers and students in the field of Applied Intelligence, enabling them to find opportunities and recognize challenges in the field.

Intelligent Systems: From Theory to Practice
Intelligent Systems: From Theory to Practice

Author: Vassil Sgurev

Publisher: Springer Science & Business Media

Published: 2010-08-27

Total Pages: 574

ISBN-13: 3642134270

DOWNLOAD EBOOK

In the modern science and technology there are some research directions and ch- lenges which are at the forefront of world wide research activities because of their relevance. This relevance may be related to different aspects. First, from a point of view of researchers it can be implied by just an analytic or algorithmic difficulty in the solution of problems within an area. From a broader perspective, this re- vance can be related to how important problems and challenges in a particular area are to society, corporate or national competitiveness, etc. Needless to say that the latter, more global challenges are probably more decisive a driving force for s- ence seen from a global perspective. One of such “meta-challenges” in the present world is that of intelligent s- tems. For a long time it has been obvious that the complexity of our world and the speed of changes we face in virtually all processes that have impact on our life imply a need to automate many tasks and processes that have been so far limited to human beings because they require some sort of intelligence.

Emerging Challenges, Solutions, and Best Practices for Digital Enterprise Transformation
Emerging Challenges, Solutions, and Best Practices for Digital Enterprise Transformation

Author: Sandhu, Kamaljeet

Publisher: IGI Global

Published: 2021-06-18

Total Pages: 387

ISBN-13: 1799885895

DOWNLOAD EBOOK

As organizations continue to move towards digital enterprise, the need for digital transformation continues to grow especially due to the COVID-19 pandemic. These impacts will last far into the future, as newer digital technologies continue to be accepted, used, and developed. These digital tools will forever change the face of business and management. However, on the road to digital enterprise transformation there are many successes, difficulties, challenges, and failures. Finding solutions for these issues through strategic thinking and identification of the core issues facing the enterprise is of primary concern. This means modernizing management and strategies around the digital workforce and understanding digital business at various levels. These key areas of digitalization and global challenges, such as those during or derived from the pandemic, are new and unique; They require new knowledge gained from a deep understanding of complex issues that have been examined and the solutions being discovered. Emerging Challenges, Solutions, and Best Practices for Digital Enterprise Transformation explores the key challenges being faced as businesses undergo digital transformation. It provides both solutions and best practices for not only handling and solving these key issues, but for becoming successful in digital enterprise. This includes topics such as security and privacy in technologies, data management, information and communication technologies, and digital marketing, branding, and commerce. This book is ideal for managers, business professionals, government, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.

Intelligent Systems
Intelligent Systems

Author: Ricardo Cerri

Publisher: Springer Nature

Published: 2020-10-15

Total Pages: 682

ISBN-13: 3030613801

DOWNLOAD EBOOK

The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications. Due to the Corona pandemic BRACIS 2020 was held as a virtual event.

Knowledge Management and Acquisition for Intelligent Systems
Knowledge Management and Acquisition for Intelligent Systems

Author: Hayato Ohwada

Publisher: Springer

Published: 2016-08-08

Total Pages: 284

ISBN-13: 3319427067

DOWNLOAD EBOOK

This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.

Advances in Neural Computation, Machine Learning, and Cognitive Research IV
Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2020-10-01

Total Pages: 441

ISBN-13: 3030605779

DOWNLOAD EBOOK

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.

Intelligent Systems Design and Applications
Intelligent Systems Design and Applications

Author: Ajith Abraham

Publisher: Springer Nature

Published: 2022-03-26

Total Pages: 1461

ISBN-13: 303096308X

DOWNLOAD EBOOK

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 132 selected papers from the 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 34 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.