Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis
Sign Up to like & getrecommendations! Published in 2018 at "Catalysis Today"
DOI: 10.1016/j.cattod.2017.05.012
Abstract: Abstract The aim of this work was to extract knowledge for dry reforming of methane (DRM) reaction from experimental data using data mining tools such as decision trees and artificial neural networks. An extensive database… read more here.
Keywords: decision; reforming methane; dry reforming; analysis ... See more keywords
Area-Wide estimation of seismic building structural types in rural areas by using decision tree and local knowledge in combination
Sign Up to like & getrecommendations! Published in 2021 at "International journal of disaster risk reduction"
DOI: 10.1016/j.ijdrr.2021.102320
Abstract: Abstract The seismic building structural type (SBST) represents critical information for accurately assessing seismic risk. Such risk is typically determined as a function of seismic hazards, assets such as buildings and people exposed to hazards,… read more here.
Keywords: using decision; decision tree; building; estimation ... See more keywords
Extracting the factors influencing chlorophyll-a concentrations in the Nakdong River using a decision tree algorithm
Sign Up to like & getrecommendations! Published in 2019 at "DESALINATION AND WATER TREATMENT"
DOI: 10.5004/dwt.2019.24195
Abstract: Phytoplankton blooms have a simple generation mechanism but myriad influencing factors. The compounding effects of water quality, weather conditions, and geological factors are site-specific to single river basin and can exhibit distinctive characteristics. To investigate… read more here.
Keywords: using decision; decision tree; phytoplankton blooms; tree algorithm ... See more keywords