Modelling coal dust explosibility of khyber pakhtunkhwa coal using random forest algorithm

HIGHLIGHTS

• who: Amad Ullah Khan et al. from the Department of Chemical Engineering, University of Engineering and Technology, Peshawar, Pakistan have published the research work: Modelling Coal Dust Explosibility of Khyber Pakhtunkhwa Coal Using Random Forest Algorithm, in the Journal: Energies 2022, 15, 3169. of /2022/

SUMMARY

The explosion is "an event that once initiated, grows rapidly and initially unbounded". Understanding coal dust explosions is significant to finding the governing factors to mitigate them for increasing safety in industrial working environments. It has been reported that coal dust explosibility is affected by particles size . . .

 



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