An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions
23 pages, 14 figures, 5 tables
| Authors: | , , , , , , , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2020 |
| Country: | España |
| Institution: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repository: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/223108 |
| Online Access: | http://hdl.handle.net/10261/223108 |
| Access Level: | Open access |
| Keyword: | Neural networks Deep-sea Cold-water corals Automated video-imaging Filtering rhythms Tides Multivariate statistics |
| Summary: | 23 pages, 14 figures, 5 tables |
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