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|a 1287772821
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|2 doi
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|z (OCoLC)1287772821
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|a QA76.9.S63
|b S63 2021
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|a International Conference on Soft Computing Models in Industrial and Environmental Applications
|n (16th :
|d 2021 :
|c Bilbao, Spain)
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| 245 |
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|a 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) /
|c Hugo Sanjuro González, Iker Pastor López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors.
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| 246 |
3 |
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|a SOCO 2021
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1 |
|a Cham :
|b Springer,
|c [2022]
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| 264 |
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|c ©2022
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| 300 |
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|a 1 online resource :
|b illustrations (chiefly color)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
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|b PDF
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1 |
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|a Advances in intelligent systems and computing,
|x 2194-5365 ;
|v volume 1401
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| 500 |
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|a International conference proceedings.
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| 500 |
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|a Includes author index.
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|a This 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.
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|a A 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.
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| 588 |
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|a Online resource; title from PDF title page (SpringerLink, viewed September 30, 2021).
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| 650 |
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|a Soft computing
|v Congresses.
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| 650 |
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|a Computational intelligence
|v Congresses.
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| 650 |
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7 |
|a Computational intelligence
|2 fast
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| 650 |
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7 |
|a Soft computing
|2 fast
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
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7 |
|a Conference papers and proceedings
|2 fast
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| 655 |
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|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Sanjurjo González, Hugo,
|e editor.
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| 700 |
1 |
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|a Pastor López, Iker,
|e editor.
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| 700 |
1 |
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|a García Bringas, Pablo,
|e editor.
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| 700 |
1 |
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|a Quintián, Héctor,
|e editor.
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| 700 |
1 |
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|a Corchado, Emilio,
|e editor.
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| 758 |
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|i has work:
|a 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH8qbytmhQypd3xwCyCM6C
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
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|i Print version:
|a SOCO (Conference) (16th : 2021 : Bilbao, Spain).
|t 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021).
|d Cham : Springer, [2022]
|z 3030878686
|z 9783030878689
|w (OCoLC)1265456512
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| 830 |
|
0 |
|a Advances in intelligent systems and computing ;
|v 1401.
|x 2194-5365
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| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-87869-6
|y Click for online access
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| 903 |
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|a SPRING-ROBOTICS2022
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|a 92
|b HCD
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