Zobrazeno 1 - 10
of 1 195
pro vyhledávání: '"Reliability estimation"'
Publikováno v:
Defence Technology, Vol 28, Iss , Pp 306-313 (2023)
This paper proposes an active learning accelerated Monte-Carlo simulation method based on the modified K-nearest neighbors algorithm. The core idea of the proposed method is to judge whether or not the output of a random input point can be postulated
Externí odkaz:
https://doaj.org/article/fa6b9e70b44a4a808d17f5221e3d07f2
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26230- (2024)
For some engineering application, accurately estimating reliability only depend on the history data or failure mechanism is difficult to implement, due to the lack of data and imperfect theory of failure mechanism. Namely, both history data and failu
Externí odkaz:
https://doaj.org/article/f5bb58e66d314193a9c7ea3ab96bcc6d
Publikováno v:
Aerospace, Vol 11, Iss 5, p 382 (2024)
As one of the key components of an aeroengine, turbine blisk endures complex coupling loads under a harsh operational environment so that the reliability of turbine blisk directly influences the safe operation of aeroengine. It is urgent to precisely
Externí odkaz:
https://doaj.org/article/ef527285ef044b68bdaee4afc456cf8d
Publikováno v:
Axioms, Vol 13, Iss 3, p 152 (2024)
To gather enough data from studies that are ongoing for an extended duration, a newly improved adaptive Type-II progressive censoring technique has been offered to get around this difficulty and extend several well-known multi-stage censoring plans.
Externí odkaz:
https://doaj.org/article/3f026622d67d42929714ac6603acf757
Publikováno v:
Mathematics, Vol 12, Iss 4, p 519 (2024)
The safety and reliability of undivided two-way highway–rail grade crossings (HRGCs) are of paramount importance in transportation systems. Utilizing crash data from the Federal Railroad Administration between 2020 and 2021, this study aims to pred
Externí odkaz:
https://doaj.org/article/c4409d9e7b7944fd97d61c6e5a869e2b
Akademický článek
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Akademický článek
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Publikováno v:
Diagnostyka, Vol 23, Iss 1, Pp 1-18 (2022)
Responding to the needs of quality and robustness of analysis and management of degradation of equipment, to increase their life cycle and to expand these facilities to become more and more sophisticated and agronomic. This work proposes a contributi
Externí odkaz:
https://doaj.org/article/e8556794a3894864922fcd591ad74ac8
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Retinal vessel segmentation benefits significantly from deep learning. Its performance relies on sufficient training images with accurate ground-truth segmentation, which are usually manually annotated in the form of binary pixel-
Externí odkaz:
https://doaj.org/article/dbf722b6d7254c98a4fa7418cb1748c4