Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Johannes Kvam"'
Publikováno v:
Journal of Intelligent Manufacturing
For automating deburring of cast parts, this paper proposes a general method for estimating burr height using 3D vision sensor that is robust to missing data in the scans and sensor noise. Specifically, we present a novel data-driven method that lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e8c03f3b7203e2d6f11987c7814a4b
https://hdl.handle.net/11250/3035765
https://hdl.handle.net/11250/3035765
Publikováno v:
Electronics
Electronics, Vol 10, Iss 2369, p 2369 (2021)
Volume 10
Issue 19
Electronics, Vol 10, Iss 2369, p 2369 (2021)
Volume 10
Issue 19
Manipulation tasks on subsea instalments require extremely precise detection and localization of objects of interest. This problem is referred to as “pose estimation”. In this work, we present a framework for detecting and predicting 6DoF pose fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c5d2a857ebcd6874f1c1143ab7f8996
https://hdl.handle.net/11250/2994565
https://hdl.handle.net/11250/2994565
Publikováno v:
ICASSP
This paper investigates the use of different room impulse response (RIR) simulation methods for synthesizing training data for deep neural network-based direction of arrival (DOA) estimation of speech in reverberant rooms. Different sets of synthetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d26baa176fcfc167665e58afe66bc377
https://hdl.handle.net/11250/2824872
https://hdl.handle.net/11250/2824872
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the final convolutional layer to the original image space as RGB ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e194cdcf3e8b4612fe82f75cf3a13ce2
https://doi.org/10.1007/978-3-030-58592-1_2
https://doi.org/10.1007/978-3-030-58592-1_2
Publikováno v:
Translational Animal Science
Computed tomography (CT) scanning of pigs has been shown to produce detailed phenotypes useful in pig breeding. Due to the large number of individuals scanned and corresponding large data sets, there is a need for automatic tools for analysis of thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1e29a01b59a0d8af67fddd4a49cf692
https://doi.org/10.1093/tas/txy060
https://doi.org/10.1093/tas/txy060
Autor:
Alfonso Rodriguez-Molares, Johannes Kvam, Stian Solberg, Bjorn A. J. Angelsen, Ola Finneng Myhre
Publikováno v:
The Journal of the Acoustical Society of America. 146(4)
The nonlinear acoustic bulk properties of tissue, e.g., the coefficient of nonlinearity, βn, or the nonlinear bulk elasticity, βp=βnκ0, have been shown to be promising parameters for tissue characterization due to their sensitivity to tissue stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35636869db48d77d3082b6ec17762ecd
https://pubmed.ncbi.nlm.nih.gov/31671951
https://pubmed.ncbi.nlm.nih.gov/31671951
Publikováno v:
The Journal of the Acoustical Society of America. 145(4)
Ultrasound tissue characterization based on the coefficient of nonlinearity, βn = 1 + B/2A, has been demonstrated to produce added diagnostic value due to its large variation and sensitivity to tissue structure. However, the parameter has been obser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa720e4c4d90596f4fbdbdd9233aa6d2
https://pubmed.ncbi.nlm.nih.gov/31046352
https://pubmed.ncbi.nlm.nih.gov/31046352
Autor:
Johannes Kvam, Jrgen Kongsro
Publikováno v:
Computers and Electronics in Agriculture. 142:521-523
Using deep learning to predict intramuscular fat from ultrasound images is presented.Ultrasound images from N=303 pigs with IMF range of 0.514%.Convolutional neural network designed and trained on images of M. Longissimus Dorsi.Achieves correlation r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4a5868efd246a329257222d20d5e82a
https://doi.org/10.1016/j.compag.2017.11.020
https://doi.org/10.1016/j.compag.2017.11.020
Autor:
Stian Solberg, Ole Martin Brende, Johannes Kvam, Ola Finneng Myhre, Even Florenas, Bjorn A. J. Angelsen
Publikováno v:
2017 IEEE International Ultrasonics Symposium (IUS).
Irregular patterns of microcalcifications in the breast may indicate a malignant cancer tumor. The gold standard for early detection is X-ray mammography. However, high density of connective tissue of the breast can limit detection. Improved suppress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e8e9de2643eeace23c5c83032026df
https://doi.org/10.1109/ultsym.2017.8092857
https://doi.org/10.1109/ultsym.2017.8092857
Publikováno v:
2017 IEEE International Ultrasonics Symposium (IUS).
Microbubbles as an ultrasound contrast agent have great diagnostic value, and can be used to visualize the vascularization in a variety of organs, e.g. imaging the neo-angiogenesis in tumors. Pulse inversion (PI) is a common method for detection of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fedc86e375471c14fa45f09e15e7e16
https://doi.org/10.1109/ultsym.2017.8092574
https://doi.org/10.1109/ultsym.2017.8092574