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"item_title" : "Advances in Computational Intelligence",
"item_author" : [" Ignacio Rojas", "Gonzalo Joya", "Andreu Catala "],
"item_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. ",
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Advances in Computational Intelligence : 17th International Work-Conference on Artificial Neural Networks, Iwann 2023, Ponta Delgada, Portugal, June 19
Overview
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.This item is Non-Returnable
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Details
- ISBN-13: 9783031430770
- ISBN-10: 3031430778
- Publisher: Springer
- Publish Date: October 2023
- Dimensions: 9.21 x 6.14 x 1.39 inches
- Shipping Weight: 2.11 pounds
- Page Count: 669
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