Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Xunxian Shi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Clean fire extinguishing systems applicable to the pottery jar liquor warehouse are in demand. In this study, taking 53vol% liquor as the research subject, fire models of various clean fire extinguishing systems comprising water mist, liquid
Externí odkaz:
https://doaj.org/article/eef9d62066a04527b70a015ecd8bf3a8
Publikováno v:
Emergency Management Science and Technology, Vol 3, Iss 1, Pp 1-13 (2023)
Computer vision technology has broad application prospects in the field of intelligent fire detection, which has the benefits of accuracy, timeliness, visibility, adjustability, and multi-scene adaptability. Traditional computer vision algorithm flaw
Externí odkaz:
https://doaj.org/article/746c8c10629a4f158ccb79e46c72db84
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
We present a numerical model for blast-induced seismic waves. This model is based on the transformation mechanism of the seismic wave field, and the process of the seismic wave’s generation is divided into two stages. The first stage is the generat
Externí odkaz:
https://doaj.org/article/a82ad9fdd55d4658870d0d3031e168ff
Publikováno v:
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::622dfe7dea09a64a042fa2f563bc24c6
https://doi.org/10.1109/itaic54216.2022.9836732
https://doi.org/10.1109/itaic54216.2022.9836732
Publikováno v:
2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e645082402fa4d582464e9a6a576fe25
https://doi.org/10.1109/icetci55101.2022.9832162
https://doi.org/10.1109/icetci55101.2022.9832162
Publikováno v:
2022 Prognostics and Health Management Conference (PHM-2022 London).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2792ada4cc7e209eea6382d03e7ac35
https://doi.org/10.1109/phm2022-london52454.2022.00079
https://doi.org/10.1109/phm2022-london52454.2022.00079
Publikováno v:
10th Academic Conference of Geology Resource Management and Sustainable Development 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8015e3361fc2a5e9b29da94b2072eadd
https://doi.org/10.52202/067798-0086
https://doi.org/10.52202/067798-0086
Publikováno v:
10th Academic Conference of Geology Resource Management and Sustainable Development 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d36b3883281812018d945d2a3f71f1c7
https://doi.org/10.52202/067798-0088
https://doi.org/10.52202/067798-0088
Publikováno v:
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
In order to improve the accuracy of the gangue powder concrete compressive strength prediction model, the factor analysis method is combined with the BP neural network method to propose an improved BP neural network gangue powder concrete compressive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2988d795d6b13a0a075c3cf3f2d94534
https://doi.org/10.1109/itaic49862.2020.9339112
https://doi.org/10.1109/itaic49862.2020.9339112
Publikováno v:
2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA).
In order to improve the feasibility and accuracy of the concrete comprehensive performance prediction model, the factor analysis method and the BP neural network method are combined to propose an improved BP neural network concrete comprehensive perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16be41b2c6907f7da186e53d802b53f6
https://doi.org/10.1109/iciba50161.2020.9277249
https://doi.org/10.1109/iciba50161.2020.9277249