
Advances in Computational Intelligence
17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part II
Springer (Publisher)
Published on 2. October 2023
Book
Paperback/Softback
XXIV, 669 pages
978-3-031-43077-0 (ISBN)
Description
This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19-21, 2023.
The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions.
The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis.
The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
16 s/w Abbildungen, 239 farbige Abbildungen
XXIV, 669 p. 255 illus., 239 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 38 mm
Weight
1036 gr
ISBN-13
978-3-031-43077-0 (9783031430770)
DOI
10.1007/978-3-031-43078-7
Schweitzer Classification
Content
Deep Learning and Applications.- Deep Learning Applied to Computer Vision and Robotics.- General Applications of Artificial Intelligence.- Interaction with Neural Systems in Both Health and Disease.- Machine Learning for 4.0 Industry Solutions.- Neural Networks in Chemistry and Material Characterization.- Ordinal Classification.- Real World Applications of BCI Systems.- and Spiking Neural Networks: Applications and Algorithms.