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Advances in Computational Intelligence

17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada,...

Ignacio Rojas Gonzalo Joya Andreu Catala

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English
Springer International Publishing AG
02 October 2023
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.
Edited by:   , ,
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Edition:   1st ed. 2023
Volume:   14135
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   1.050kg
ISBN:   9783031430770
ISBN 10:   3031430778
Series:   Lecture Notes in Computer Science
Pages:   669
Publication Date:  
Audience:   Professional and scholarly ,  College/higher education ,  Undergraduate ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
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.

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