Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Johan Phan"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Three-dimensional (3D) images provide a comprehensive view of material microstructures, enabling numerical simulations unachievable with two-dimensional (2D) imaging alone. However, obtaining these 3D images can be costly and constrained by
Externí odkaz:
https://doaj.org/article/9757a7bd944a47548af6ba4ed387b63f
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Obtaining an accurate segmentation of images obtained by computed microtomography (micro-CT) techniques is a non-trivial process due to the wide range of noise types and artifacts present in these images. Current methodologies are often time
Externí odkaz:
https://doaj.org/article/e727135ea62a4c139b25ea60c7bb33b9
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Obtaining an accurate segmentation of images obtained by computed microtomography (micro-CT) techniques is a non-trivial process due to the wide range of noise types and artifacts present in these images. Current methodologies are often time-consumin
Publikováno v:
Journal of Petroleum Science and Engineering
The characterization of 3D structures in porous media is crucial for predicting physical properties in many industries, such as CO2 capture and storage, hydrology, oil & gas. In contrast to the expensive and time-consuming acquisition of 3D images, 2
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030356637
Recently, Convolutional Neural Networks (CNNs) have shown unprecedented success in the field of computer vision, especially on challenging image classification tasks by relying on a universal approach, i.e., training a deep model on a massive dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490f7f6d6cb4227be681659a7ea618a7
https://doi.org/10.1007/978-3-030-35664-4_12
https://doi.org/10.1007/978-3-030-35664-4_12