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020 _a9783030878696
024 7 _a10.1007/978-3-030-87869-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.S63
_b2022 EB
245 0 0 _a16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)
_cedited by Hugo Sanjurjo González, Iker Pastor López, Pablo García Bringas, Héctor Quintián, Emilio Corchado
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXIV, 832 páginas)
_b308 ilustraciones, 239 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5365
_v1401
505 0 _aA comparison of techniques for Virtual Concept Drift detection -- Dimensional reduction on an intelligent model for efficiency improvement of switching modes detection -- Performance and Explainability of Reservoir Computing Models for Industrial Prognosis -- Towards adaptive gamification in small online communities -- LSTM vs CNN in real ship trajectory classification -- Medical Catheters Grasping Point Detection with Quality Control.
520 _aThis book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2021 conference held in the beautiful and historic city of Bilbao (Spain), in September 2021. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 16th SOCO 2021 International Program Committee selected 78 papers which are published in these conference proceedings and represents an acceptance rate of 48%. In this relevant edition, a special emphasis is put on the organization of special sessions. Seven special sessions are organized related to relevant topics as follows: applications of machine learning in computer vision; soft computing applied to autonomous robots and renewable energy systems; optimization, modeling, and control by soft computing techniques (OMCS); challenges and new approaches toward artificial intelligence deployments in real-world scenarios; time series forecasting in industrial and environmental applications (TSF); soft computing methods in manufacturing and management systems and applied machine learning. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the SOCO conference would not exist without their help.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9166276
_aSoft Computing
_vCongresos y asambleas
776 0 8 _iPrinted edition:
_z9783030878689
776 0 8 _iPrinted edition:
_z9783030878702
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87869-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2023
_dz
_eu
_zSI