3   Artículos

 
en línea
Aibing Jin, Prabhat Basnet and Shakil Mahtab    
In deep engineering, rockburst hazards frequently result in injuries, fatalities, and the destruction of contiguous structures. Due to the complex nature of rockbursts, predicting the severity of rockburst damage (intensity) without the aid of computer m... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Hong Wang, Lei Nie, Yan Xu, Yan Lv, Yuanyuan He, Chao Du, Tao Zhang and Yuzheng Wang    
Rockburst intensity prediction is one of the basic works of underground engineering disaster prevention and mitigation. Considering the dynamic variability and fuzziness in rockburst intensity prediction, variable fuzzy sets (VFS) are selected for evalua... ver más
Revista: Applied Sciences    Formato: Electrónico

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