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024 7 _a10.1007/978-3-031-43078-7
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245 1 0 _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.
300 _aXXIV, 669 p. 255 illus., 239 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
_bPDF
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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
700 1 _aJoya, Gonzalo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCatala, Andreu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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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