Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Tristan van Leeuwen"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024)
Abstract This paper introduces ForametCeTera, a pioneering dataset designed to address the challenges associated with automating the analysis of benthic foraminifera in sediment cores. Foraminifera are sensitive sentinels of environmental change and
Externí odkaz:
https://doaj.org/article/23b0c0ee50b34512a70a759f7aaa03d2
Autor:
Francien G. Bossema, Willem Jan Palenstijn, Arlen Heginbotham, Madeline Corona, Tristan van Leeuwen, Robert van Liere, Jan Dorscheid, Daniel O’Flynn, Joanne Dyer, Erma Hermens, K. Joost Batenburg
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Visualizing the internal structure of museum objects is a crucial step in acquiring knowledge about the origin, state, and composition of cultural heritage artifacts. Among the most powerful techniques for exposing the interior of museum obj
Externí odkaz:
https://doaj.org/article/fee87716d60643b3b6934145b53a422b
Autor:
Tianyuan Wang, Virginia Florian, Richard Schielein, Christian Kretzer, Stefan Kasperl, Felix Lucka, Tristan van Leeuwen
Publikováno v:
Journal of Imaging, Vol 10, Iss 9, p 208 (2024)
Sparse-angle X-ray Computed Tomography (CT) plays a vital role in industrial quality control but leads to an inherent trade-off between scan time and reconstruction quality. Adaptive angle selection strategies try to improve upon this based on the id
Externí odkaz:
https://doaj.org/article/622094910521431e851d7b6c76a0b4e2
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images. However, s
Externí odkaz:
https://doaj.org/article/08816b2001274bf29e9911c736045761
Autor:
Hamid Fathi, Tristan van Leeuwen
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1524 (2024)
X-ray tomography is an effective non-destructive testing method for industrial quality control. Limited-angle tomography can be used to reduce the amount of data that need to be acquired and thereby speed up the process. In some industrial applicatio
Externí odkaz:
https://doaj.org/article/978f394c6f1940e7a41372b7de85a70f
Autor:
Maximilian B. Kiss, Francien G. Bossema, Paul J. C. van Laar, Suzan Meijer, Felix Lucka, Tristan van Leeuwen, K. Joost Batenburg
Publikováno v:
Heritage Science, Vol 11, Iss 1, Pp 1-14 (2023)
Abstract Computed tomography (CT) is a powerful non-invasive tool to analyze cultural heritage objects by allowing museum professionals to obtain 3D information about the objects’ interior. These insights can help with the conservation or restorati
Externí odkaz:
https://doaj.org/article/e76cb7e2a176496bbcd948651b195301
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Although X-ray imaging is used routinely in industry for high-throughput product quality control, its capability to detect internal defects has strong limitations. The main challenge stems from the superposition of multiple object features w
Externí odkaz:
https://doaj.org/article/5b253503b8524b00abed939ee99aea26
Autor:
Andreas Tataris, Tristan van Leeuwen
Publikováno v:
Mathematics, Vol 10, Iss 2, p 216 (2022)
We study the inverse scattering problem for a Schrödinger operator related to a static wave operator with variable velocity, using the GLM (Gelfand–Levitan–Marchenko) integral equation. We assume to have noisy scattering data, and we derive a st
Externí odkaz:
https://doaj.org/article/9f24fd2a38ca4b62bd002875340d5d49
Publikováno v:
Geophysical Journal International, 234(1), 228-242
SUMMARY Full waveform inversion and least-squares reverse time migration are the leading technologies for imaging with seismic waves. Both of them usually rely (in one way or another) on a single-scattering approximation, i.e. the Born approximation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0657db20738b7fd0662a184a3f224f1d
https://ir.cwi.nl/pub/33180
https://ir.cwi.nl/pub/33180
Publikováno v:
Journal of Imaging, Vol 7, Iss 7, p 104 (2021)
X-ray imaging is a widely used technique for non-destructive inspection of agricultural food products. One application of X-ray imaging is the autonomous, in-line detection of foreign objects in food samples. Examples of such inclusions are bone frag
Externí odkaz:
https://doaj.org/article/8055f03819404d1da705f113a8b319bf