Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ketil Malde"'
Autor:
Noemi Canovi, Benjamin A. Ellis, Tonje K. Sørdalen, Vaneeda Allken, Kim T. Halvorsen, Ketil Malde, Cigdem Beyan
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102733- (2024)
This study contributes to advancing the field of automatic fish event recognition in natural underwater videos, addressing the current gap in studying fish interaction and competition, including predator-prey relationships and mating behaviors. We us
Externí odkaz:
https://doaj.org/article/3bde9c5c13614c3c89b18023ac6e66d2
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The genome size of organisms impacts their evolution and biology and is often assumed to be characteristic of a species. Here we present the first published estimates of genome size of the ecologically and economically important ectoparasite
Externí odkaz:
https://doaj.org/article/835f179ff9bc492d8413862d53dbc829
Publikováno v:
Geoscience Data Journal, Vol 8, Iss 2, Pp 199-209 (2021)
Abstract Developing high‐performing machine learning algorithms requires large amounts of annotated data. Manual annotation of data is labour‐intensive, and the cost and effort needed are an important obstacle to the development and deployment of
Externí odkaz:
https://doaj.org/article/4ee5074aad3e440d80135a3951387236
Publikováno v:
BMC Genetics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background Marine fish populations are often characterized by high levels of gene flow and correspondingly low genetic divergence. This presents a challenge to define management units. Goldsinny wrasse (Ctenolabrus rupestris) is a heavily ex
Externí odkaz:
https://doaj.org/article/1873d2988f754b3d8cf1afdad1f0bd96
Autor:
Savannah Carolyn Myers, Anders Thorsen, Szymon Smoliński, Jane Aanestad Godiksen, Ketil Malde, Nils Olav Handegard
Publikováno v:
Geoscience Data Journal, Vol 7, Iss 1, Pp 80-88 (2020)
Abstract Information on fish age constitutes one of the most important biological variables for a fish stock, and an accurate estimation of the age structure of the fish populations is essential for the reliable management of these natural resources.
Externí odkaz:
https://doaj.org/article/97421074d0c84215b9036810118e9839
Autor:
Dimitris V. Politikos, Nikolaos Sykiniotis, Georgios Petasis, Pavlos Dedousis, Alba Ordoñez, Rune Vabø, Aikaterini Anastasopoulou, Endre Moen, Chryssi Mytilineou, Arnt-Børre Salberg, Archontia Chatzispyrou, Ketil Malde
Publikováno v:
Fishes, Vol 7, Iss 3, p 121 (2022)
Every year, marine scientists around the world read thousands of otolith or scale images to determine the age structure of commercial fish stocks. This knowledge is important for fisheries and conservation management. However, the age-reading procedu
Externí odkaz:
https://doaj.org/article/f99974a2c5d04339a8999e6891f02e04
Autor:
Katarina M. Jørgensen, Monica F. Solberg, Francois Besnier, Anders Thorsen, Per Gunnar Fjelldal, Øystein Skaala, Ketil Malde, Kevin A. Glover
Publikováno v:
BMC Ecology, Vol 18, Iss 1, Pp 1-13 (2018)
Abstract Background In fish, morphological colour changes occur from variations in pigment concentrations and in the morphology, density, and distribution of chromatophores in the skin. However, the underlying mechanisms remain unresolved in most spe
Externí odkaz:
https://doaj.org/article/88e52a3db5694d358d68c38c6b58b034
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0204713 (2018)
The age structure of a fish population has important implications for recruitment processes and population fluctuations, and is a key input to fisheries-assessment models. The current method of determining age structure relies on manually reading age
Externí odkaz:
https://doaj.org/article/a1782d9712a44d35b71bddb39d09170f
Autor:
Ketil Malde, Tomasz Furmanek
Publikováno v:
PLoS ONE, Vol 8, Iss 2, p e54422 (2013)
Sequence alignment is an important bioinformatics tool for identifying homology, but searching against the full set of available sequences is likely to result in many hits to poorly annotated sequences providing very little information. Consequently,
Externí odkaz:
https://doaj.org/article/c25b86326fa049a18635e6c558e3d44d
Autor:
Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 4 (2023): Proceedings of the Northern Lights Deep Learning Workshop 2023
In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior. However, such tagging techniques are increasingly being replaced by individual re-identification using image analysis. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a2b3cf1ba1e9ab89d2937f2a799a65
http://arxiv.org/abs/2301.00596
http://arxiv.org/abs/2301.00596
