Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Manuel Chiachío Ruano"'
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d7ccdb8b04ed42e21099899f13b1718
https://doi.org/10.1201/b22018-3
https://doi.org/10.1201/b22018-3
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ffa66cd1e6b714f6de0f66db3751050
https://doi.org/10.1201/b22018-2
https://doi.org/10.1201/b22018-2
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1e0703b972658038d6e42a3f70f6cce
https://doi.org/10.1201/b22018-4
https://doi.org/10.1201/b22018-4
Publikováno v:
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5359cf1b6f9c82e5c491e2386e10fe00
https://doi.org/10.3850/978-981-14-8593-0_4974-cd
https://doi.org/10.3850/978-981-14-8593-0_4974-cd
This book is devoted to a special class of engineering problems called Bayesian inverse problems. These problems comprise not only the probabilistic Bayesian formulation of engineering problems, but also the associated stochastic simulation methods n
Autor:
José Andrés Barros Cabezas, Manuel Chiachío Ruano, Joel Carlos Barreiro Moreno, Joel Andrés Consuegra Silva
Publikováno v:
Repositorio Universidad Laica Vicente Rocafuerte
Universidad Laica Vicente Rocafuerte
instacron:ULVR
Yachana, Vol 8, Iss 2 (2019)
Universidad Laica Vicente Rocafuerte
instacron:ULVR
Yachana, Vol 8, Iss 2 (2019)
The calibration of complex numerical models is usually carried-out as a trial and error process whose success is influenced by the human factor. This work presents the applicability and efficiency of recent Bayesian computational algorithms for the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7f650a876143b469c671a2e4e9263776
http://repositorio.ulvr.edu.ec/handle/44000/3638
http://repositorio.ulvr.edu.ec/handle/44000/3638
Autor:
Wen Wu, Sergio Cantero-Chinchilla, Wang-ji Yan, Manuel Chiachio Ruano, Rasa Remenyte-Prescott, Dimitrios Chronopoulos
Publikováno v:
Sensors, Vol 23, Iss 8, p 4160 (2023)
In this paper, defect detection and identification in aluminium joints is investigated based on guided wave monitoring. Guided wave testing is first performed on the selected damage feature from experiments, namely, the scattering coefficient, to pro
Externí odkaz:
https://doaj.org/article/d33373df758c4fecb5013649977795a8