Zobrazeno 1 - 10
of 27 917
pro vyhledávání: '"Uncertainty-quantification"'
Autor:
G. Del Corso, M.A. Pascali, C. Caudai, L. De Rosa, A. Salvati, M. Mancini, L. Ghiadoni, F. Bonino, M.R. Brunetto, S. Colantonio, F. Faita
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 603-610 (2024)
Background and objective: This article uses three different probabilistic convolutional architectures applied to ultrasound image analysis for grading Fatty Liver Content (FLC) in Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) patie
Externí odkaz:
https://doaj.org/article/20fb20f3fba346e5a49a237c0fcd47fc
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Operator learning is a rising field of scientific computing where inputs or outputs of a machine learning model are functions defined in infinite-dimensional spaces. In this paper, we introduce Neon (Neural Epistemic Operator Networks), an a
Externí odkaz:
https://doaj.org/article/ac03a9fac4b746bf83a8abbe9ca072cd
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-22 (2024)
Abstract Some of the important geodetic time series used in various Earth science disciplines are provided without uncertainty estimates. This can affect the validity of conclusions based on such data. However, an efficient uncertainty quantification
Externí odkaz:
https://doaj.org/article/77dea8627a904056bb32b1d82ed20891
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 10, Pp 4463-4469 (2024)
This paper details a computational framework to produce automated, graphical workflows, and how this framework can be deployed to support complex modeling problems like those in nuclear engineering. Key benefits of the framework include: automating p
Externí odkaz:
https://doaj.org/article/75d9753734d5425b896210677bfe7b27
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3626-3643 (2024)
One of the issues in the development of the sodium-cooled fast reactor (SFR) using transuranic (TRU) metallic fuel is the absence of criticality benchmark experiment that faithfully mocks up the nuclear characteristics of the target design for valida
Externí odkaz:
https://doaj.org/article/3aacc65c325543949da763d83f0bee1d
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 8, Pp 3276-3285 (2024)
This paper introduces the creation of a module for Uncertainty Quantification (UQ) specifically designed for VVER analysis through the implementation of the STREAM/RAST-V two-step approach. The aim was to expand the range of use by developing a UQ mo
Externí odkaz:
https://doaj.org/article/2689475b03d7424791a505c9da9901bf
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Identification of human leukocyte antigen (HLA) types from DNA-sequenced human samples is important in organ transplantation and cancer immunotherapy and remains a challenging task considering sequence homology and extreme polymor
Externí odkaz:
https://doaj.org/article/a37634a311bf4a9cae76931a655fd557
Autor:
Geethen Singh, Glenn Moncrieff, Zander Venter, Kerry Cawse-Nicholson, Jasper Slingsby, Tamara B. Robinson
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Machine learning is increasingly applied to Earth Observation (EO) data to obtain datasets that contribute towards international accords. However, these datasets contain inherent uncertainty that needs to be quantified reliably to avoid nega
Externí odkaz:
https://doaj.org/article/3e3cb4badbb7445394bfe012fa5182e9
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Pharmacodynamic (PD) models are mathematical models of cellular reaction networks that include drug mechanisms of action. These models are useful for studying predictive therapeutic outcomes of novel drug therapies in silico. However, PD mod
Externí odkaz:
https://doaj.org/article/99dd03527400422590623ce16fe53775