Advances in Artificial Intelligence-based Technologies - Selected Papers in Honour of Professor Nikolaos G. Bourbakis-Vol. 1 (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Learning and Analytics in Intelligent Systems, 22
Release date:	October 2021
First published:	2022
Editors:	Maria Virvou • George A. Tsihrintzis • Lefteri H. Tsoukalas • Lakhmi C. Jain
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	237
Edition:	1st ed. 2022
ISBN-13:	978-3-03-080570-8
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-080570-0
Barcode:	9783030805708

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