UID:
almahu_9949254905002882
Format:
XVII, 356 p. 159 illus., 120 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030930523
Series Statement:
Learning and Analytics in Intelligent Systems, 24
Content:
As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. 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 Artificial Intelligence areas of interest to them.
Note:
Chapter 1: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 2: Introduction To Advances In Selected Artificial Intelligence Areas -- Chapter 3: Application of Rough Set-Based Characterisation of Attributes in Feature Selection and Reduction.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030930516
Additional Edition:
Printed edition: ISBN 9783030930530
Additional Edition:
Printed edition: ISBN 9783030930547
Language:
English
DOI:
10.1007/978-3-030-93052-3
URL:
https://doi.org/10.1007/978-3-030-93052-3
URL:
Volltext
(URL des Erstveröffentlichers)
