LEADER 04401nam 22007455 450 001 996466328403316 005 20230329225945.0 010 $a3-030-20521-5 024 7 $a10.1007/978-3-030-20521-8 035 $a(CKB)4100000008347160 035 $a(DE-He213)978-3-030-20521-8 035 $a(MiAaPQ)EBC5927954 035 $a(PPN)254462898 035 $a(EXLCZ)994100000008347160 100 $a20190515d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Intelligence$b[electronic resource] $e15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I /$fedited by Ignacio Rojas, Gonzalo Joya, Andreu Catala 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXX, 940 p. 394 illus., 262 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11506 311 $a3-030-20520-7 320 $aIncludes bibliographical references and index. 327 $aMachine learning in weather observation and forecasting -- Computational intelligence methods for time series -- Human activity recognition -- New and future tendencies in brain-computer interface systems -- Random-weights neural networks -- Pattern recognition -- Deep learning and natural language processing -- Software testing and intelligent systems -- Data-driven intelligent transportation systems -- Deep learning models in healthcare and biomedicine. 330 $aThis two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11506 606 $aBioinformatics 606 $aArtificial intelligence 606 $aComputer vision 606 $aComputer networks 606 $aAlgorithms 606 $aData protection 606 $aComputational and Systems Biology 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aComputer Communication Networks 606 $aAlgorithms 606 $aData and Information Security 615 0$aBioinformatics. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aComputer networks. 615 0$aAlgorithms. 615 0$aData protection. 615 14$aComputational and Systems Biology. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aComputer Communication Networks. 615 24$aAlgorithms. 615 24$aData and Information Security. 676 $a006.3 702 $aRojas$b Ignacio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJoya$b Gonzalo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCatala$b Andreu$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466328403316 996 $aAdvances in Computational Intelligence$92045995 997 $aUNISA