Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jan Conradt"'
Autor:
Jan Conradt, Steffen Funk, Camilla Sguotti, Rudi Voss, Thorsten Blenckner, Christian Möllmann
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Fisheries worldwide face uncertain futures as climate change manifests in environmental effects of hitherto unseen strengths. Developing climate-ready management strategies traditionally requires a good mechanistic understanding of stock res
Externí odkaz:
https://doaj.org/article/4d4ed7d1840c4a8ea0aa14ee46d29600
Autor:
Dorothee Moll, Harald Asmus, Alexandra Blöcker, Uwe Böttcher, Jan Conradt, Leonie Färber, Nicole Funk, Steffen Funk, Helene Gutte, Hans-Harald Hinrichsen, Paul Kotterba, Uwe Krumme, Frane Madiraca, H. E. Markus Meier, Steffi Meyer, Timo Moritz, Saskia A. Otto, Guilherme Pinto, Patrick Polte, Marie-Catherine Riekhof, Victoria Sarrazin, Marco Scotti, Rudi Voss, Helmut Winkler, Christian Möllmann
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Marine fisheries are increasingly impacted by climate change, affecting species distribution and productivity, and necessitating urgent adaptation efforts. Climate vulnerability assessments (CVA), integrating expert knowledge, are vital for
Externí odkaz:
https://doaj.org/article/669243744a2e49eaae2a533d5dc7c4e4
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
With recent advances in Machine Learning techniques based on Deep Neural Networks (DNNs), automated plankton image classification is becoming increasingly popular within the marine ecological sciences. Yet, while the most advanced methods can achieve
Externí odkaz:
https://doaj.org/article/1bbe94b2b68c42f081e0f7dbbdd9ef3d
Publikováno v:
Limnology and Oceanography: Methods. 19:176-195
The general task of image classification seems to be solved due to the development of modern convolutional neural networks (CNNs). However, the high intraclass variability and interclass similarity of plankton images still prevents the practical iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3aac92cc2c429412c90b845fefbc8b4
https://doi.org/10.1002/lom3.10413
https://doi.org/10.1002/lom3.10413