A correlational research on developing an innovative integrated gas warning system: a case study in ZhongXing, China
Gas explosions and outbursts were the leading types of gas accidents in mining in China with gas concentration exceeding the threshold limit value (TLV) as the leading cause. Current research is focused mainly on using machine learning approaches for avoiding exceeding the TLV of the gas concentrati...
Guardado en:
Autores principales: | Robert M. X. Wu, Wanjun Yan, Zhongwu Zhang, Jinwen Gou, Jianfeng Fan, Bao Liu, Yong Shi, Bo Shen, Haijun Zhao, Yanyun Ma, Jeffrey Soar, Xiangyu Sun, Ergun Gide, Zhigang Sun, Peilin Wang, Xinxin Cui, Ya Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1a9f36c461b14280ab660172c33d6b1c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Creating resilient communities with medium-range hazard warning systems
por: Bapon (SHM) Fakhruddin, et al.
Publicado: (2021) -
A genetic researcher’s devil’s dilemma: Warn relatives about their genetic risk or respect confidentiality agreements with research participants?
por: Lieke M. van den Heuvel, et al.
Publicado: (2021) -
Harnessing the Challenges and Solutions to Improve Security Warnings: A Review
por: Zarul Fitri Zaaba, et al.
Publicado: (2021) -
Research on Early Warning for Gas Risks at a Working Face Based on Association Rule Mining
por: Yuxin Huang, et al.
Publicado: (2021) -
Method for Environmental Flows Regulation and Early Warning with Remote Sensing and Land Cover Data
por: Yuming Lu, et al.
Publicado: (2021)