Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Frank, Westad"'
Publikováno v:
IEEE Access, Vol 12, Pp 13213-13232 (2024)
Generative adversarial networks (GANs) have drawn considerable attention in recent years for their proven capability in generating synthetic data which can be utilised for multiple purposes. While GANs have demonstrated tremendous successes in produc
Externí odkaz:
https://doaj.org/article/bb4c8adab78442f5ba7d5d643a9949cd
Autor:
Frank Westad, Geir Rune Flåten
Publikováno v:
Frontiers in Analytical Science, Vol 4 (2024)
This perspective article reviews how the chemometrics community approached non-linear methods in the early years. In addition to the basic chemometric methods, some methods that fall under the term “machine learning” are also mentioned. Thereafte
Externí odkaz:
https://doaj.org/article/baba4601c22a4d8eb5e1078993b49d63
Autor:
Anna Mathew, Hafiz Wajahat Hassan, Olga Korostynska, Frank Westad, Eduarda Mota-Silva, Luca Menichetti, Peyman Mirtaheri
Publikováno v:
Sensors, Vol 23, Iss 6, p 3063 (2023)
Biodegradable magnesium-based implants offer mechanical properties similar to natural bone, making them advantageous over nonbiodegradable metallic implants. However, monitoring the interaction between magnesium and tissue over time without interfere
Externí odkaz:
https://doaj.org/article/3bc6882aca98497a9720f1d888f2b9f2
Autor:
Beatriz Galindo-Prieto, Frank Westad
Publikováno v:
Journal of Spectral Imaging, Vol 7, Iss 1, p a4 (2018)
Independent component analysis combined with various strategies for cross-validation, uncertainty estimates by jack-knifing and critical Hotelling’s T2 limits estimation, proposed in this paper, is used for classification purposes in hyperspectral
Externí odkaz:
https://doaj.org/article/797efb1dccf14a9ebddc2d9e5c8bfc6c
Autor:
Ingvar Eide, Frank Westad
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0189443 (2018)
A pilot study demonstrating real-time environmental monitoring with automated multivariate analysis of multi-sensor data submitted online has been performed at the cabled LoVe Ocean Observatory located at 258 m depth 20 km off the coast of Lofoten-Ve
Externí odkaz:
https://doaj.org/article/755da62f11ed47cba9a48bf23eb439ac
Autor:
Veronica Alejandra Torres Caceres, Kenneth Duffaut, Anis Yazidi, Frank Westad, Yngve Bolstad Johansen
Publikováno v:
Geophysical Prospecting
Petrophysical interpretation and optimal correlation extraction of different measurements require accurate well log depth matching. We have developed a supervised multimodal machine learning alternative for the task of simultaneously matching raw log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f57db37b4e75023740266ee51a82129
https://doi.org/10.1111/1365-2478.13200
https://doi.org/10.1111/1365-2478.13200
Publikováno v:
NIR news. 31:34-39
With the latest release of Unscrambler, Camo Analytics introduced support for Python scripting, giving users the best of two worlds. This Python extension allows users to tap into the vast ecosystem of Data Science tools that are continually being pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ad504e44d95c0f970bf264db2d6986b
https://doi.org/10.1177/0960336020944008
https://doi.org/10.1177/0960336020944008
Publikováno v:
Wander, L, Vianello, A, Vollertsen, J, Westad, F, Braun, U & Paul, A 2020, ' Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples ', Analytical Methods, vol. 12, no. 6, pp. 781-791 . https://doi.org/10.1039/C9AY02483B
Hyperspectral imaging of environmental samples with infrared microscopes is one of the preferred methods to find and characterize microplastics. Particles can be quantified in terms of number, size and size distribution. Their shape can be studied an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3716ca03a5ddfbbd20d16ae3c7e2ba
https://doi.org/10.1039/c9ay02483b
https://doi.org/10.1039/c9ay02483b
Autor:
Frank Westad, Federico Marini
Publikováno v:
Frontiers in Analytical Science
Variable selection is a topic of interest in many scientific communities. Within chemometrics, where the number of variables for multi-channel instruments like NIR spectroscopy and metabolomics in many situations is larger than the number of samples,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf283487921587fbe8ee580087b22c61
https://hdl.handle.net/11250/3042897
https://hdl.handle.net/11250/3042897
Publikováno v:
Food & Nutrition Research, Vol 54, Iss 0, Pp 1-9 (2010)
Background and objectives: Foods high in protein are known to satiate more fully than foods high in other constituents. One challenge with these types of food is the degree of palatability. This study was aimed at developing the frankfurter style of
Externí odkaz:
https://doaj.org/article/1496d75f585f490c8bfbda0f6e623341