Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Kirill V. Horoshenkov"'
Autor:
Jah Shamas, Tim Rogers, Anton Krynkin, Jevgenija Prisutova, Paul Gardner, Kirill V. Horoshenkov, Samuel R. Shelley, Paul Dickenson
Publikováno v:
Sensors, Vol 24, Iss 15, p 4883 (2024)
This paper presents a novel adaptation of the conventional approximate Bayesian computation sequential Monte Carlo (ABC-SMC) sampling algorithm for parameter estimation in the presence of uncertainties, coined combinatorial ABC-SMC. Inference of this
Externí odkaz:
https://doaj.org/article/73e3a388c7664656ab403d27d275d9a4
Autor:
Hasina Begum, Kirill V. Horoshenkov
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 2834 (2022)
The authors wish to make the following corrections to the published paper [...]
Externí odkaz:
https://doaj.org/article/77ef38eb2b6647b0a43a0457e83516a8
Autor:
Hasina Begum, Kirill V. Horoshenkov
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4593 (2021)
It is known that aerogel impregnated fibrous blankets offer high acoustic absorption and thermal insulation performance. These materials are becoming very popular in various industrial and building applications. Although the reasons for the high ther
Externí odkaz:
https://doaj.org/article/12751416ba3b43cd8f21fe99eaa44597
Publikováno v:
Sensors, Vol 21, Iss 2, p 404 (2021)
Combined sewer overflow structures (CSO) play an important role in sewer networks. When the local capacity of a sewer system is exceeded during intense rainfall events, they act as a “safety valve” and discharge excess rainfall run-off and wastew
Externí odkaz:
https://doaj.org/article/23f08f1d959e4d968061528e55f5e6a1
Publikováno v:
Sensors, Vol 18, Iss 4, p 1098 (2018)
The pattern of the free surface of the turbulent flow in a partially filled circular pipe contains information on the underlying hydraulic processes. However, the roughness of the free surface of flow and its temporal variation in a pipe is a dynamic
Externí odkaz:
https://doaj.org/article/3a4392d1799545fc9b7670ac00f6a10e
Publikováno v:
The International Journal of Acoustics and Vibration. 28:98-116
Autonomous robotics is an emerging technology for the inspection of a vast network of underground pipes. Communication between autonomous robots is essential to optimise their efficiency and network coverage. However, sending a message acoustically i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39042ac94952e62b0d43feda599e4924
https://doi.org/10.20855/ijav.2023.28.11930
https://doi.org/10.20855/ijav.2023.28.11930
Publikováno v:
The Journal of the Acoustical Society of America. 153:367-383
An acoustic method for simultaneous condition detection, localization, and classification in air-filled pipes is proposed. The contribution of this work is threefold: (1) a microphone array is used to extend the usable acoustic frequency range to est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::745c5cfca23a7a1d65e07e75ff20feb5
https://doi.org/10.1121/10.0016856
https://doi.org/10.1121/10.0016856
Publikováno v:
IEEE Transactions on Artificial Intelligence
As a category of transfer learning, domain adaptation plays an important role in generalizing the model trained in one task and applying it to other similar tasks or settings. In speech enhancement, a well-trained acoustic model can be exploited to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33076b95cce07f458eeef4a06b569427
https://doi.org/10.1109/tai.2021.3119927
https://doi.org/10.1109/tai.2021.3119927
Autor:
Simon Tait, Zhihua Xie, BinLiang Lin, Andrew Nichols, Kirill V. Horoshenkov, Roger Alexander Falconer
Publikováno v:
Journal of Hydraulic Research. 60:205-219
In this paper, a large-eddy simulation study of turbulent free surface flow over a natural rough bed is presented. A three-dimensional multiphase flow model is employed to study the roughness effects on the turbulence properties and free surface dyna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2932d626de5999ed4832be0278623e53
https://doi.org/10.1080/00221686.2021.1908437
https://doi.org/10.1080/00221686.2021.1908437