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Record Nr. |
UNINA9910746971003321 |
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Titolo |
Advances in Computational Intelligence : 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (xxiv, 669 pages) : illustrations (some color) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14135 |
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Altri autori (Persone) |
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RojasIgnacio |
JoyaGonzalo |
CatalaAndreu |
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Disciplina |
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Soggetti |
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Bioinformatics |
Computers |
Artificial intelligence |
Computer networks |
Computer systems |
Computational and Systems Biology |
Computing Milieux |
Artificial Intelligence |
Computer Networks |
Computer Communication Networks |
Computer System Implementation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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: |
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Applications and Algorithms. |
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Sommario/riassunto |
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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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