| 000 | 03782nam a22003975i 4500 | ||
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| 999 |
_c395319 _d395319 _x1 |
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| 001 | 395319 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240201134337.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 210922s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030878696 | ||
| 024 | 7 |
_a10.1007/978-3-030-87869-6 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9.S63 _b2022 EB |
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| 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 |
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| 300 |
_a1 recurso en línea (XXIV, 832 páginas) _b308 ilustraciones, 239 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1401 |
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| 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 |
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| 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 |
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| 998 |
_b02/2023 _dz _eu _zSI |
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