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231010 ||| eng |
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|a 9783031430855
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|a Rojas, Ignacio
|e [editor]
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|a Advances in Computational Intelligence
|h Elektronische Ressource
|b 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I
|c edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
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|a 1st ed. 2023
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|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
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|a XXIV, 707 p. 301 illus., 244 illus. in color
|b online resource
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|a Advanced Topics in Computational Intelligence -- Advances in Artificial Neural Networks -- ANN HW-Accelerators -- Applications of Machine Learning in Biomedicine and Healthcare -- Applications of Machine Learning in Time Series Analysis
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|a Computer Communication Networks
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|a Computer systems
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|a Bioinformatics
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|a Computer System Implementation
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|a Computational and Systems Biology
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|a Artificial Intelligence
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|a Computer Networks
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|a Computers
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|a Computer networks
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|a Artificial intelligence
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|a Computing Milieux
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700 |
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|a Joya, Gonzalo
|e [editor]
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|a Catala, Andreu
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Computer Science
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|a 10.1007/978-3-031-43085-5
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|u https://doi.org/10.1007/978-3-031-43085-5?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a 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 materialcharacterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
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