most citedUsing evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

75 citations · 113 across the 2 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 38 cited

Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach

Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian +7

Chemical and biomass processing systems release volatile matter compounds into the environment daily. Catalytic reforming can convert these compounds into valuable fuels, but devel…