Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Mario Brito"'
Publikováno v:
Big Earth Data, Vol 0, Iss 0, Pp 1-29 (2021)
Each year, accidents involving ships result in significant loss of life, environmental pollution and economic losses. The promotion of navigation safety through risk reduction requires methods to assess the spatial distribution of the relative likeli
Externí odkaz:
https://doaj.org/article/adfcd156d51040c7a794bfba1342c256
Autor:
de Miranda, Jussara Lopes, de Abreu, Tatiana Pereira, Neto, João Mário Brito, de Pontes Souza, Dejair, Coelho, Igor, Stavale, Fernando, Oliveira, Suzane de Sant’ Ana, de Moura, Luiza Cristina
Publikováno v:
In Sustainable Materials and Technologies September 2023 37
Autor:
M. K. S. Al-Mhdawi, Mario Brito, B. S. Onggo, Abroon Qazi, Alan O’Connor, Bilal M. Ayyub, Albert P. C. Chan
The purpose of this paper is to capture the direct and indirect effects of COVID-19 emerging risks on construction projects' success in developing countries from the contractors’ perspective. To achieve this, we collected data from Iraqi constructi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b5c9f937b15bfb035c58801f3ab9f35
https://eprints.soton.ac.uk/477290/
https://eprints.soton.ac.uk/477290/
Publikováno v:
Risk Analysis.
Publikováno v:
2023 IEEE Aerospace Conference.
Autor:
Andrew Rawson, Mario Brito
Identifying and assessing the likelihood and consequences of maritime accidents has been a key focus of research within the maritime industry. However, conventional methods utilised for maritime risk assessment have been dominated by a few methodolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1ec517e3fbe4559215f1b988cca060f
https://eprints.soton.ac.uk/454729/
https://eprints.soton.ac.uk/454729/
Publikováno v:
Big Earth Data, Vol 0, Iss 0, Pp 1-29 (2021)
Each year, accidents involving ships result in significant loss of life, environmental pollution and economic losses. The promotion of navigation safety through risk reduction requires methods to assess the spatial distribution of the relative likeli
For several years machine learning methods have been proposed for risk classification. While machine learning methods have also been used for failure diagnosis and condition monitoring, to the best of our knowledge, these methods have not been used f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd642cdca8646cdfccf0a034b42915d
https://eprints.soton.ac.uk/455545/
https://eprints.soton.ac.uk/455545/
Publikováno v:
Risk Analysis. 40:1258-1278
The use of autonomous underwater vehicles (AUVs) for various applications have grown with maturing technology and improved accessibility. The deployment of AUVs for under-ice marine science research in the Antarctic is one such example. However, a hi
Publikováno v:
Journal of Management in Engineering. 38
The outbreak of COVID-19 has impacted construction markets worldwide due to supply chain disruptions, workforce restrictions, and legislative changes. However, construction markets in developing countries are perceived to be more vulnerable to the ch