Zobrazeno 1 - 10
of 1 433
pro vyhledávání: '"A. Luiken"'
While the human brain efficiently adapts to new tasks from a continuous stream of information, neural network models struggle to learn from sequential information without catastrophically forgetting previously learned tasks. This limitation presents
Externí odkaz:
http://arxiv.org/abs/2404.19419
Post-stack seismic inversion is a widely used technique to retrieve high-resolution acoustic impedance models from migrated seismic data. Its modelling operator assumes that a migrated seismic data can be generated from the convolution of a source wa
Externí odkaz:
http://arxiv.org/abs/2401.00753
Seismic imaging is the numerical process of creating a volumetric representation of the subsurface geological structures from elastic waves recorded at the surface of the Earth. As such, it is widely utilized in the energy and construction sectors fo
Externí odkaz:
http://arxiv.org/abs/2312.10568
A crucial step in seismic data processing consists in reconstructing the wavefields at spatial locations where faulty or absent sources and/or receivers result in missing data. Several developments in seismic acquisition and interpolation strive to r
Externí odkaz:
http://arxiv.org/abs/2311.08540
Autor:
Ravasi, Matteo, Luiken, Nick
Projection Over Convex Sets (POCS) is one of the most widely used algorithms in geophysical data processing to interpolate seismic data. Whilst usually described as a modification of the Gerchberg-Saxton algorithm, a formal understanding of the under
Externí odkaz:
http://arxiv.org/abs/2304.09926
Publikováno v:
Volume 42 Issue 7 Jul 2023 Pages 446 516
4D seismic inversion is the leading method to quantitatively monitor fluid flow dynamics in the subsurface, with applications ranging from enhanced oil recovery to subsurface CO2 storage. The process of inverting seismic data for reservoir properties
Externí odkaz:
http://arxiv.org/abs/2303.11662
Autor:
Abel A. Vlasblom, Birgitta Duim, Shriram Patel, Roosmarijn E. C. Luiken, Daniel Crespo-Piazuelo, Julia Eckenberger, Chloe E. Huseyin, Peadar G. Lawlor, Christian Elend, Jaap A. Wagenaar, Marcus J. Claesson, Aldert L. Zomer
Publikováno v:
mSystems, Vol 9, Iss 10 (2024)
ABSTRACT In the global efforts to combat antimicrobial resistance and reduce antimicrobial use in pig production, there is a continuous search for methods to prevent and/or treat infections. Within this scope, we explored the relationship between the
Externí odkaz:
https://doaj.org/article/0f35c4b945dc48919d51661a9f45ce4e
Autor:
Izzatullah, Muhammad, Alkhalifah, Tariq, Romero, Juan, Corrales, Miguel, Luiken, Nick, Ravasi, Matteo
Uncertainty quantification is crucial to inverse problems, as it could provide decision-makers with valuable information about the inversion results. For example, seismic inversion is a notoriously ill-posed inverse problem due to the band-limited an
Externí odkaz:
http://arxiv.org/abs/2212.14595
To limit the time, cost, and environmental impact associated with the acquisition of seismic data, in recent decades considerable effort has been put into so-called simultaneous shooting acquisitions, where seismic sources are fired at short time int
Externí odkaz:
http://arxiv.org/abs/2205.15395
Autor:
Christopher G. Ballmann, Rebecca R. Rogers, Megan E. Barnes, Camryn R. Cowan, Carson C. Elwell, Kailey A. Luiken, Grace Y. Lehman, Julia C. Kaylor, Ella G. Simpson, Spencer B. Westbrooks, Maria J. Miller, Courteney L. Benjamin, Tyler D. Williams
Publikováno v:
Nutraceuticals, Vol 4, Iss 1, Pp 23-34 (2024)
Exercise performance tends to suffer during the morning compared to the evening, which may decrease potential training adaptations. Currently, it is unclear how nutritional interventions may affect this phenomenon and whether supplementation may allo
Externí odkaz:
https://doaj.org/article/fdeecd2f6df74bdda922165b2e90f017