Advances in Computational Intelligence
16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II
Published on 21. August 2021
Book
Paperback/Softback
XXI, 442 pages
978-3-030-85098-2 (ISBN)
Description
This two-volume set LNCS 12861 and LNCS 12862 constitutes the refereed proceedings of the 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, held virtually, in June 2021.
The 85 full papers presented in this two-volume set were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on Deep Learning for Biomedicine, Intelligent Computing Solutions for SARS-CoV-2 Covid-19, Advanced Topics in Computational Intelligence, Biosignals Processing, Neuro-Engineering and much more.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
21 s/w Abbildungen
XXI, 442 p. 21 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 26 mm
Weight
703 gr
ISBN-13
978-3-030-85098-2 (9783030850982)
DOI
10.1007/978-3-030-85099-9
Schweitzer Classification
Other editions
Additional editions
Ignacio Rojas | Gonzalo Joya | Andreu Català
Advances in Computational Intelligence
16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II
E-Book
08/2021
Springer
€53.49
Available for download
Content
Information fusion in Deep Learning for Biomedicine.- Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19).- Advanced Topics in Computational Intelligence.- Biosignals Processing.- Deep Learning.- Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems.- Artificial Intelligence and Biomedicine.- Convolutional Neural Networks: Beyond Traditional Solutions.- Bio-inspired Systems and Neuro-Engineering.- Agent-Based Models for Policy Design Towards a More Sustainable World.- Randomization in Deep Learning.- Neural Networks for Time Series Forecasting.- Applications in Artificial Intelligence.