Nordic Artificial Intelligence Research and Development

Authors :: Zouganeli, Evi
Yazidi, Anis
Mello, Gustavo
Lind, Pedro
Publication Year :: 2022
Publisher :: Cham: Springer Nature; Springer International Publishing, 2022.
Abstract: This book constitutes the refereed proceedings of the 4th Symposium of the Norwegian AI Society, NAIS 2022, held in Oslo, Norway, during May 31–June 1, 2022. The 11 full papers included in this book were carefully reviewed and selected from 17 submissions. They were organized in topical sections as follows: robotics and intelligent systems; ai in cyber and digital sphere; ai in biological applications and medicine; and towards new ai methods. This is an open access book.

Subjects :: artificial intelligence
clustering algorithms
computer security
computer vision
correlation analysis
data handling
data integration
engineering
expert systems
Human-Computer Interaction (HCI)
image analysis
image processing
integrated data
machine learning
network protocols
software engineering
unsupervised learning
thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering

Language :: English
ISBN :: 978-3-031-17030-0
3-031-17030-X
ISBNs :: 9783031170300 and 303117030X
Database :: OAPEN Library
Notes :: ONIX_20230213_9783031170300_31, , https://link.springer.com/978-3-031-17030-0, , The Research Council of Norway
Publication Type :: eBook
Accession number :: edsoap.20.500.12657.61287
Document Type :: book
Full Text :: https://doi.org/10.1007/978-3-031-17030-0