Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Bildeanalyse"'
Autor:
Kalaš, Matúš, Plantard, Laure, Lindblad, Joakim, Jones, Martin, Sladoje, Nataša, Kirschmann, Moritz A., Chessel, Anatole, Scholz, Leandro, Rössler, Fabianne, Nicolás Sáenz, Laura, Gómez de Mariscal, Estibaliz, Bogovic, John, Dufour, Alexandre, Heiligenstein, Xavier, Waithe, Dominic, Domart, Marie-Charlotte, Karreman, Matthia, Van de Plas, Raf, Haase, Robert, Hörl, David, Paavolainen, Lassi, Vrhovac Madunić, Ivana, Karaica, Dean, Muñoz-Barrutia, Arrate, Sampaio, Paula, Sage, Daniel, Munck, Sebastian, Golani, Ofra, Moore, Josh, Levet, Florian, Ison, Jon, Gaignard, Alban, Ménager, Hervé, Zhang, Chong, Miura, Kota, Colombelli, Julien, Paul-Gilloteaux, Perrine
Externí odkaz:
https://hdl.handle.net/11250/2986090
Autor:
Choi, Changkyu
Marine environment monitoring has become increasingly significant due to the excessive exploitation of oceans, which detrimentally impacts ecosystems. Deep learning provides an effective monitoring approach by automating the analysis of vast amounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::de843eb981f59b39cbe5285daa905dc1
https://hdl.handle.net/10037/29267
https://hdl.handle.net/10037/29267
Autor:
Heggeli, Erik
The Arctic Tundra is an extremely cold desert-like environment. It is the home to many different species of animals and plants. With the oncoming threat of climate change, this biome is at risk of losing its biodiversity. This disruption of the Arcti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=nora_uio__no::d326b207f568ed1083a5764966a58aff
https://hdl.handle.net/10037/29549
https://hdl.handle.net/10037/29549
Rapid technological progress has recently eliminated the necessity of physically deploying humans for manual underwater ship inspections. Instead, Remotely Operated Vehicles (ROVs) can now capture and record videos, which humans can subsequently revi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=nora_uio__no::5acdfcdc812a9dcb5af459826c291022
https://hdl.handle.net/10037/29562
https://hdl.handle.net/10037/29562
Autor:
Hofsøy-Woie, Vetle
Annually, avalanches claim an average of 100 lives[9]. In Norway, seven people die and 67 get injured on average each year due to avalanche accidents[15]. For those who survive the trauma but are buried under snow, time is of the essence. This master
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c092377e969e83fa86fdff2aaee5a229
https://hdl.handle.net/10037/29603
https://hdl.handle.net/10037/29603
Autor:
Chen, Hao
Norway's Arctic region is rich in wind resources and developing wind energy in the region can promote a green transition and economic development. However, the region's unique topography with fjords and mountains and cold climate conditions make wind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::897b32d539e70e0e76054d8bbed8bf8e
https://hdl.handle.net/10037/26938
https://hdl.handle.net/10037/26938
Publikováno v:
IEEE Sensors Journal
This paper presents a three-stage approach for the automated analysis of close-range optical images containing ice objects. The proposed system is based on an ensemble of deep learning models and conditional random field postprocessing. The following
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2d44752a08c4ec2c23236d32ec1853b
https://doi.org/10.1109/jsen.2021.3084556
https://doi.org/10.1109/jsen.2021.3084556
