Zobrazeno 1 - 10
of 209
pro vyhledávání: '"Jari P. Kaipio"'
Autor:
Talles Batista Rattis Santos, Rafael Mikio Nakanishi, Erick Dario León Bueno de Camargo, Marcelo Brito Passos Amato, Jari P. Kaipio, Raul Gonzalez Lima, Jennifer L. Mueller
Publikováno v:
Medical Physics. 49:4653-4670
Electrical impedance tomography (EIT) is a nonionizing imaging technique for real-time imaging of ventilation of patients with respiratory distress. Cross-sectional dynamic images are formed by reconstructing the conductivity distribution from measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::696cb8e0206414f0c9d3af9123739e20
https://doi.org/10.1002/mp.15669
https://doi.org/10.1002/mp.15669
Publikováno v:
Interpretation. 9:T955-T968
Gas hydrates are ice-like crystalline materials that form under submarine environments of moderate pressure and low temperature. Another key factor to their formation is the abundance in gas supply from depth in addition to local biogenic gas. Detail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfd10729fe22d0b967c9c3bf6a05ac73
https://doi.org/10.1190/int-2020-0163.1
https://doi.org/10.1190/int-2020-0163.1
Publikováno v:
Inverse Problems in Science and Engineering. 29:2895-2922
This paper considers a statistical method for damage identification of simply-supported elastic beams from static data. The problem is cast as an inverse problem and analyzed in Bayesian inversion ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab0d1c22f2e659a6799db9c6b9866da
https://doi.org/10.1080/17415977.2021.1955875
https://doi.org/10.1080/17415977.2021.1955875
Publikováno v:
Inverse Problems. 39:054001
The replacement of a nonlinear parameter-to-observable mapping with a linear (affine) approximation is often carried out to reduce the computational costs associated with solving large-scale inverse problems governed by partial differential equations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60d1978b2c49f41ebdab50e2b0df549e
https://doi.org/10.1088/1361-6420/acc129
https://doi.org/10.1088/1361-6420/acc129
Autor:
Ruanui Nicholson, Jari P. Kaipio
Publikováno v:
Journal of Mathematical Imaging and Vision. 62:1227-1237
Multiplicative noise models are often used instead of additive noise models in cases in which the noise variance depends on the state. Furthermore, when Poisson distributions with relatively small counts are approximated with normal distributions, mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5a8b44f7161ee8dddb767665a4a2fcd
https://doi.org/10.1007/s10851-020-00984-3
https://doi.org/10.1007/s10851-020-00984-3
In ultrasound tomography, the speed of sound inside an object is estimated based on acoustic measurements carried out by sensors surrounding the object. An accurate forward model is a prominent factor for high-quality image reconstruction, but it can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af0431d4e53ffd71f33e2dc442ee904c
The uncertainty in the radiative forcing caused by aerosols and its effect on the climate change calls for research to improve knowledge of the aerosol particle formation and growth processes. While the experimental research has provided large amount
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbb86c72d0c0e31720c0dc219f737e99
https://doi.org/10.5194/gmd-2020-236
https://doi.org/10.5194/gmd-2020-236
Publikováno v:
Journal of Aerosol Science. 160:105902
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0aab946b8a703bb9137c8c5d43e9c15
https://doi.org/10.1016/j.jaerosci.2021.105902
https://doi.org/10.1016/j.jaerosci.2021.105902
Autor:
Jari P. Kaipio, César C. Pacheco, Luiz A. S. Abreu, Ville Kolehmainen, Helcio R. B. Orlande, Marcelo J. Colaço, Renato M. Cotta
Publikováno v:
Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Submitted by Jairo Amaro (jairo.amaro@sibi.ufrj.br) on 2019-06-05T00:14:03Z No. of bitstreams: 1 15-2018_Detection-of-contact-failures-with-the-Markov-chain-Monte-Carlo-method-min.pdf: 903904 bytes, checksum: 13c202c03f5cfd245ed4a42ffbb6a07c (MD5) Ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6078537dbeca26bc50469a3837e7fe76
https://doi.org/10.1016/j.ijthermalsci.2018.06.006
https://doi.org/10.1016/j.ijthermalsci.2018.06.006
Publikováno v:
Geophysical Journal International
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0732c23441e74849104edc8a66adea6d
https://doi.org/10.1093/gji/ggx200
https://doi.org/10.1093/gji/ggx200