首页> 外文OA文献 >Supplementary material 1 from: Anton V, Germishuys J, Bergström P, Lindegarth M, Obst M (2021) An open-source, citizen science and machine learning approach to analyse subsea movies. Biodiversity Data Journal 9: e60548. https://doi.org/10.3897/BDJ.9.e60548

【2h】

Supplementary material 1 from: Anton V, Germishuys J, Bergström P, Lindegarth M, Obst M (2021) An open-source, citizen science and machine learning approach to analyse subsea movies. Biodiversity Data Journal 9: e60548. https://doi.org/10.3897/BDJ.9.e60548

机译：补充材料1来自：安东v，萌芽j，bergströmp，林德斯thm，hevegarth m，heatefarth m（2021）开源，公民科学和机器学习方法来分析海底电影。生物多样性数据期刊9：E60548。 https://doi.org/10.3897/bdj.9.e60548

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
相似文献
相关主题

著录项

作者
Victor Anton; Jannes Germishuys; Per Bergström; Mats Lindegarth; Matthias Obst;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献

1. An open-source citizen science and machine learning approach to analyse subsea movies [O] . Victor Anton, Jannes Germishuys, Per Bergström, 2021

机译：一个开源公民科学和机器学习方法分析海底电影
2. Supplementary material 3 from: Pape T, Beuk P, Pont A, Shatalkin A, Ozerov A, Woźnica A, Merz B, Bystrowski C, Raper C, Bergström C, Kehlmaier C, Clements D, Greathead D, Kameneva E, Nartshuk E, Petersen F, Weber G, Bächli G, Geller-Grimm F, Van de Weyer G, Tschorsnig H, de Jong H, van Zuijlen J, Vaňhara J, Roháček J, Ziegler J, Majer J, Hůrka K, Holston K, Rognes K, Greve-Jensen L, Munari L, de Meyer M, Pollet M, Speight M, Ebejer M, Martinez M, Carles-Tolrá M, Földvári M, Chvála M, Barták M, Evenhuis N, Chandler P, Cerretti P, Meier R, Rozkosny R, Prescher S, Gaimari S, Zatwarnicki T, Zeegers T, Dikow T, Korneyev V, Richter V, Michelsen V, Tanasijtshuk V, Mathis W, Hubenov Z, de Jong Y (2015) Fauna Europaea: Diptera – Brachycera. Biodiversity Data Journal 3: e4187. https://doi.org/10.3897/BDJ.3.e4187 [O] . Pape, Thomas, Beuk, Paul, Pont, Adrian, 2015

机译：补充材料3来自：Pape T，Beuk P，Pont A，Shatalkin A，Ozerov A，WoźnicaA，Merz B，Bystrowski C，Raper C，BergströmC，Kehlmaier C，Clements D，Greathead D，Kameneva E，Nartshuk E， Petersen F，Weber G，BächliG，Geller-Grimm F，Van de Weyer G，Tschorsnig H，de Jong H，van Zuijlen J，VaňharaJ，RoháčekJ，Ziegler J，Majer J，HůrkaK，Holston K，Rognes K ，Greve-Jensen L，Munari L，de Meyer M，Pollet M，Speight M，Ebejer M，Martinez M，Carles-TolráM，FöldváriM，ChválaM，BartákM，Evenhuis N，Chandler P，Cerretti P，Meier R ，Rozkosny R，Prescher S，Gaimari S，Zatwarnicki T，Zeegers T，Dikow T，Korneyev V，Richter V，Michelsen V，Tanasijtshuk V，Mathis W，Hubenov Z，Young Y（2015）动物区系欧洲：Diptera-Brachycera。生物多样性数据期刊3：e4187。 https://doi.org/10.3897/BDJ.3.e4187

Supplementary material 1 from: Anton V, Germishuys J, Bergström P, Lindegarth M, Obst M (2021) An open-source, citizen science and machine learning approach to analyse subsea movies. Biodiversity Data Journal 9: e60548. https://doi.org/10.3897/BDJ.9.e60548

著录项

相似文献

相关主题

期刊订阅