Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models
Jian Zhou(Sinopec (China)), Binh Thai Pham(University Of Transport Technology), Danial Jahed Armaghani(University of Technology Sydney), Panagiotis G. Asteris(School of Pedagogical and Technological Education)
Cited by 255
Related Papers
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
|Earth-Science Reviews|2020|1.1k
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
|The Science of The Total Environment|2018|760
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
|Journal of Hydrology|2019|726
A novel hybrid artificial intelligence approach for flood susceptibility assessment
|Environmental Modelling & Software|2017|637