Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation: 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers
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| Weitere Verfasser: | , , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2022
Cham Springer |
| Ausgabe: | 1st ed. 2022 |
| Schriftenreihe: | Communications in Computer and Information Science
1512 |
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (XV, 467 p. 171 illus., 160 illus. in color) |
| ISBN: | 9783030964986 |
| ISSN: | 1865-0937 |
| DOI: | 10.1007/978-3-030-96498-6 |
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| id | DE-604.BV047887571 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:24:59Z |
| indexdate | 2024-08-01T16:15:47Z |
| institution | BVB |
| isbn | 9783030964986 |
| issn | 1865-0937 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033269756 |
| oclc_num | 1304481227 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-91 DE-BY-TUM |
| owner_facet | DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (XV, 467 p. 171 illus., 160 illus. in color) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2022 ZDB-2-SCS TUM_PDA_SCS_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| series2 | Communications in Computer and Information Science |
| spellingShingle | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers Computer System Implementation Special Purpose and Application-Based Systems Computer Communication Networks Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computer systems Computers, Special purpose Computer networks Artificial intelligence Computer engineering Social sciences—Data processing |
| title | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers |
| title_auth | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers |
| title_exact_search | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers |
| title_exact_search_txtP | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers |
| title_full | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers edited by Jeffrey Nichols, Arthur ‘Barney’ Maccabe, James Nutaro, Swaroop Pophale, Pravallika Devineni, Theresa Ahearn, Becky Verastegui |
| title_fullStr | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers edited by Jeffrey Nichols, Arthur ‘Barney’ Maccabe, James Nutaro, Swaroop Pophale, Pravallika Devineni, Theresa Ahearn, Becky Verastegui |
| title_full_unstemmed | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers edited by Jeffrey Nichols, Arthur ‘Barney’ Maccabe, James Nutaro, Swaroop Pophale, Pravallika Devineni, Theresa Ahearn, Becky Verastegui |
| title_short | Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation |
| title_sort | driving scientific and engineering discoveries through the integration of experiment big data and modeling and simulation 21st smoky mountains computational sciences and engineering smc 2021 virtual event october 18 20 2021 revised selected papers |
| title_sub | 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers |
| topic | Computer System Implementation Special Purpose and Application-Based Systems Computer Communication Networks Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computer systems Computers, Special purpose Computer networks Artificial intelligence Computer engineering Social sciences—Data processing |
| topic_facet | Computer System Implementation Special Purpose and Application-Based Systems Computer Communication Networks Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computer systems Computers, Special purpose Computer networks Artificial intelligence Computer engineering Social sciences—Data processing |
| url | https://doi.org/10.1007/978-3-030-96498-6 |
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