Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nicolai Andre Brogaard Riis"'
Autor:
ASM Shihavuddin, Xiao Chen, Vladimir Fedorov, Anders Nymark Christensen, Nicolai Andre Brogaard Riis, Kim Branner, Anders Bjorholm Dahl, Rasmus Reinhold Paulsen
Publikováno v:
Energies, Vol 12, Iss 4, p 676 (2019)
Timely detection of surface damages on wind turbine blades is imperative for minimizing downtime and avoiding possible catastrophic structural failures. With recent advances in drone technology, a large number of high-resolution images of wind turbin
Externí odkaz:
https://doaj.org/article/5cb2cf3d2bb54926ada7a697d9a7a8d5
Autor:
Peter Gerstoft, Jonas Brunskog, Efren Fernandez-Grande, Franz Maria Heuchel, Nicolai Andre Brogaard Riis, Diego Caviedes-Nozal
Publikováno v:
Caviedes-Nozal, D, Riis, N A B, Heuchel, F M, Brunskog, J, Gerstoft, P & Fernandez-Grande, E 2021, ' Gaussian processes for sound field reconstruction ', Journal of the Acoustical Society of America, vol. 149, no. 2, pp. 1107-1119 . https://doi.org/10.1121/10.0003497
This study examines the use of Gaussian process (GP) regression for sound field reconstruction. GPs enable the reconstruction of a sound field from a limited set of observations based on the use of a covariance function (a kernel) that models the spa
Publikováno v:
Journal of Mathematical Imaging and Vision. 63:133-143
We propose a new model and a corresponding iterative algorithm for Computed Tomography (CT) when the view angles are uncertain. The uncertainty is described by an additive model discrepancy term which is included in the data fidelity term of a total
Autor:
Jonas Brunskog, Efren Fernandez-Grande, Franz Maria Heuchel, Diego Caviedes-Nozal, Nicolai Andre Brogaard Riis
Publikováno v:
Caviedes Nozal, D, Heuchel, F M, Brunskog, J, Riis, N A B & Fernandez Grande, E 2019, ' A Bayesian spherical harmonics source radiation model for sound field control ', Journal of the Acoustical Society of America, vol. 146, no. 5, pp. 3425-3435 . https://doi.org/10.1121/1.5133384
In sound field reproduction and sound field control systems, the acoustic transfer functions between a set of sources and an extended reproduction area need to be accurately estimated in order to achieve good performance. This implies that large amou
Publikováno v:
Brogaard Riis, N A, Dong, Y & Hansen, P C 2021, ' Computed tomography with view angle estimation using uncertainty quantification ', Inverse Problems, vol. 37, no. 6, 065007 . https://doi.org/10.1088/1361-6420/abf5ba
We consider computed tomography (CT) with uncertain measurement geometry, with a focus on the case where the view angles are uncertain and where estimation of these angles improves the reconstruction. We propose a new reconstruction model and a corre
Autor:
Xiao Chen, Rasmus Reinhold Paulsen, Anders Christensen, Vladimir Fedorov, Kim Branner, Nicolai Andre Brogaard Riis, Anders Bjorholm Dahl, Asm Shihavuddin
Publikováno v:
Energies, Vol 12, Iss 4, p 676 (2019)
Energies; Volume 12; Issue 4; Pages: 676
Shihavuddin, ASM, Chen, X, Fedorov, V, Christensen, A N, Riis, N A B, Branner, K, Dahl, A B & Paulsen, R R 2019, ' Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis ', Energies, vol. 12, no. 4, 676 . https://doi.org/10.3390/en12040676
Energies; Volume 12; Issue 4; Pages: 676
Shihavuddin, ASM, Chen, X, Fedorov, V, Christensen, A N, Riis, N A B, Branner, K, Dahl, A B & Paulsen, R R 2019, ' Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis ', Energies, vol. 12, no. 4, 676 . https://doi.org/10.3390/en12040676
Timely detection of surface damages on wind turbine blades is imperative for minimizing downtime and avoiding possible catastrophic structural failures. With recent advances in drone technology, a large number of high-resolution images of wind turbin
Autor:
Xiao Chen, Asm Shihavuddin, Rasmus Reinhold Paulsen, Nicolai Andre Brogaard Riis, Vladimir Fedorov, Anders Christensen, Kim Branner, Anders Bjorholm Dahl
Timely detection of surface damages on wind turbine blades is imperative for minimising downtime and avoiding possible catastrophic structural failures. With recent advances in drone technology, a large number of high-resolution images of wind turbin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::beffef300394e373661e978cd2465dc0
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
SSVM
In this paper, we propose a new iterative algorithm for Computed Tomography (CT) reconstruction when the problem has uncertainty in the view angles. The algorithm models this uncertainty by an additive model-discrepancy term leading to an estimate of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb3bdb7410dd6277ccf43347d8a34d85
https://doi.org/10.1007/978-3-030-22368-7_13
https://doi.org/10.1007/978-3-030-22368-7_13
Publikováno v:
Riis, N A B, Frøsig, J, Dong, Y & Hansen, P C 2018, ' Limited-data x-ray CT for underwater pipeline inspection ', Inverse Problems, vol. 34, no. 3, 034002 . https://doi.org/10.1088/1361-6420/aaa49c
Tomographic reconstruction from limited data is an important problem that arises in many applications and can be handled in many ways. Here we consider inspection of underwater oil pipelines via fan-beam x-ray CT where, due to restrictions in the mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2efc65b28879491700c7d8b3ae941d0
https://orbit.dtu.dk/en/publications/6b194d8b-b507-4d5f-8b23-b14b798f8c51
https://orbit.dtu.dk/en/publications/6b194d8b-b507-4d5f-8b23-b14b798f8c51
Autor:
Nicolai Andre Brogaard Riis, Casper T. Eriksen, Morten Mørup, Jacob Frosig, Søren Føns Vind Nielsen, Mikkel N. Schmidt, Jesper Løve Hinrich, Kristoffer Hougaard Madsen, Marco D. F. Kristensen
Publikováno v:
ICASSP
Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a group level scalable probabilistic sparse factor analysis