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Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II
Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II
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- More about Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II
The 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, was held in Ponta Delgada, Portugal, and the proceedings are presented in two volumes, LNCS 14134 and LNCS 14135. The papers cover various topics in computational intelligence, artificial neural networks, hardware accelerators, machine learning applications in biomedicine and healthcare, time series analysis, deep learning, computer vision, robotics, general applications of artificial intelligence, interaction with neural systems, 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.
Format: Paperback / softback
Length: 669 pages
Publication date: 02 October 2023
Publisher: Springer International Publishing AG
This two-volume set, LNCS 14134 and LNCS 14135, comprises 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 proceedings include 108 full papers, carefully reviewed and selected from 149 submissions. The papers are organized into two volumes, with Part I focusing 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. Part II delves into 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.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031430770
Edition number: 1st ed. 2023
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