Optimization of EDTA enriched phytoaccumulation of zinc by Ophiopogon japonicus: Comparison of Response Surface, Artificial Neural Network and Random Forest models
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DOI: 10.1016/j.biteb.2019.100265
Abstract: Abstract Zinc (Zn) contaminated soil was remediated by EDTA enriched phytoaccumulation strategy using Ophiopogon japonicus. The main and interactive effects of three variables such as initial Zn concentration (0.5 × 10−4 M–1 × 10−4 M), EDTA concentration (0–25 mmol kg−1), and time period… read more here.
Keywords: ophiopogon japonicus; phytoaccumulation; edta enriched; random forest ... See more keywords
Well predictive performance of play-wide and Subarea Random Forest models for Bakken productivity
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2020.107150
Abstract: Abstract In recent years, geologists and petroleum engineers have struggled to clearly identify the mechanisms that drive productivity in horizontal, hydraulically-fractured oil wells producing from the middle member of the Bakken Formation. This paper fills… read more here.
Keywords: productivity; play; forest models; random forest ... See more keywords
Novel Sensitivity Study for Biomass Directional Devolatilization by Random Forest Models
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DOI: 10.1021/acs.energyfuels.0c00822
Abstract: Devolatilization is always the primary process in biomass thermal conversion, and directional devolatilization has caught considerable attention in recent decades for producing certain fuels and raw chemical materials. In the present study, we report a… read more here.
Keywords: forest models; devolatilization; directional devolatilization; novel sensitivity ... See more keywords