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_a10.1007/978-3-031-43078-7 _2doi |
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_aAdvances in Computational Intelligence _h[electronic resource] : _b17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part II / _cedited by Ignacio Rojas, Gonzalo Joya, Andreu Catala. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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300 |
_aXXIV, 669 p. 255 illus., 239 illus. in color. _bonline resource. |
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_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14135 |
|
505 | 0 | _aDeep 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. | |
520 | _aThis 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. | ||
650 | 0 | _aBioinformatics. | |
650 | 0 | _aComputers. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer Networks. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aComputer systems. | |
650 | 1 | 4 | _aComputational and Systems Biology. |
650 | 2 | 4 | _aComputing Milieux. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Networks. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aComputer System Implementation. |
700 | 1 |
_aRojas, Ignacio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aJoya, Gonzalo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aCatala, Andreu. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031430770 |
776 | 0 | 8 |
_iPrinted edition: _z9783031430794 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v14135 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-43078-7 |
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