Artificial Intelligence in Models, Methods and Applications (1st ed. 2023) (Studies in Systems, Decision and Control #457)
By: and and and and and and
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- Synopsis
- This book is based on the accepted research papers presented in the International Conference "Artificial Intelligence in Engineering & Science" (AIES-2022). The aim of the AIES Conference is to bring together researchers involved in the theory of computational intelligence, knowledge engineering, fuzzy systems, soft computing, machine learning and related areas and applications in engineering, bioinformatics, industry, medicine, energy, smart city, social spheres and other areas. This book presents new perspective research results: models, methods, algorithms and applications in the field of Artificial Intelligence (AI). Particular emphasis is given to the medical applications - medical images recognition, development of the expert systems which could be interesting for the AI researchers as well for the physicians looking for the new ideas in medicine. The central audience of the book are researchers, industrial practitioners, students specialized in the Artificial Intelligence.
- Copyright:
- 2023
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031229381
- Related ISBNs:
- 9783031229374
- Publisher:
- Springer International Publishing
- Date of Addition:
- 04/24/23
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Olga Dolinina
- Edited by:
- Igor Bessmertny
- Edited by:
- Alexander Brovko
- Edited by:
- Vladik Kreinovich
- Edited by:
- Vitaly Pechenkin
- Edited by:
- Alexey Lvov
- Edited by:
- Vadim Zhmud
Reviews
Other Books
- by Olga Dolinina
- by Igor Bessmertny
- by Alexander Brovko
- by Vladik Kreinovich
- by Vitaly Pechenkin
- by Alexey Lvov
- by Vadim Zhmud
- in Nonfiction
- in Computers and Internet
- in Technology