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020 _a9783030671488
024 7 _a10.1007/978-3-030-67148-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_erda
_dES-MaUEC
050 4 _aQ342
_b2021 EB
245 0 0 _aIntelligent Systems in Industrial Applications
_cedited by Martin Stettinger, Gerhard Leitner, Alexander Felfernig, Zbigniew W. Ras.
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XVI, 208 páginas)
_b84 ilustraciones, 53 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2
490 0 _aStudies in Computational Intelligence
_x1860-949X
_v949
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aPart I: Applications in the Automotive and Transport Sector -- Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives? -- Attempt to better trust classification models: Application to the Ageing of Refrigerated Transport Vehicles -- Part II: Perspectives on Artificial Learning -- Automatic Stopwords Identification from Very Small Corpora -- BacAnalytics: A Tool to Support Secondary School Examination inFrance -- Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches -- The Impact of Supercategory Inclusion on Semantic Classifier Performance -- Recognition of the Flue Pipe Type Using Deep Learning -- Part III: Industrial Applications -- Adaptive Autonomous Machines - Modeling and Architecture? -- Automated completion of partial configurations as a diagnosis task Using FastDiag to improve performance -- Exploring configurator users' motivational drivers for digital social interaction -- Impact of the Application of Artificial Intelligence Technologies in a Content Management System of a Media -- A Conversion of Feature Models into an Executable Representation in Microsoft Excel -- Part IV: Basic Research and Algorithmic Problems -- Explainable Artificial Intelligence. Model Discovery with Constraint Programming -- Deep Distributional Temporal Difference Learning for Game Playing.
520 3 _aThis book presents a selection of papers from the industrial track of ISMIS 2020. The selection emphasizes broad applicability of artificial intelligence (AI) technologies in various industrial fields. The aim of the book is to fertilize preliminary ideas of readers on the application of AI by means of already successfully implemented application examples. Furthermore, the development of new ideas and concepts shall be motivated by the variety of different application examples. The spectrum of the presented contributions ranges from education and training, industrial applications in production and logistics to the development of new approaches in basic research, which will further expand the possibilities of future applications of AI in industrial settings. This broad spectrum gives readers working in the industrial as well as the academic field a good overview of the state of the art in the field of methodologies for intelligent systems.
988 _aSpringer_Robotics_2021
650 7 _aInteligencia artificial
_2embne
_9413115
650 7 _aIngeniería industrial
_2embne
_9143360
700 1 _aStettinger, Martin
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLeitner, Gerhard
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aFelfernig, Alexander
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRas, Zbigniew W
_eeditor literario
_0(orcid)0000-0002-8619-914X
_1https://orcid.org/0000-0002-8619-914X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030671471
776 0 8 _iPrinted edition:
_z9783030671495
776 0 8 _iPrinted edition:
_z9783030675905
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67148-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2021
_dz
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_zSI