Random forest regression for optimizing variable planting rates for corn and soybean using topographical and soil data
Sign Up to like & getrecommendations! Published in 2020 at "Agronomy Journal"
DOI: 10.1002/agj2.20442
Abstract: Correspondence MichaelA.Gore, PlantBreeding and Genetics Section, School of Integrative Plant Science,CornellUniversity, Ithaca, NY, 14853,USA Email:[email protected] Abstract In recent years, planting machinery that enables precise control of the planting rates has become available for corn (Zea… read more here.
Keywords: corn soybean; rate; soil; random forest ... See more keywords
Random forest regression for online capacity estimation of lithium-ion batteries
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.09.182
Abstract: Machine-learning based methods have been widely used for battery health state monitoring. However, the existing studies require sophisticated data processing for feature extraction, thereby complicating the implementation in battery management systems. This paper proposes a… read more here.
Keywords: capacity; battery; random forest; capacity estimation ... See more keywords
The basicity analysis of sintered ore using laser-induced breakdown spectroscopy (LIBS) combined with random forest regression (RFR)
Sign Up to like & getrecommendations! Published in 2017 at "Analytical Methods"
DOI: 10.1039/c7ay01389b
Abstract: The basicity of sintered ore, which is related to the melting point of the sinter, is vital to ore mining and blast-furnace smelting. Laser-induced breakdown spectroscopy (LIBS) with random forest regression (RFR) has been applied… read more here.
Keywords: sintered ore; model; spectroscopy; random forest ... See more keywords
Microbiome Data Accurately Predicts the Postmortem Interval Using Random Forest Regression Models
Sign Up to like & getrecommendations! Published in 2018 at "Genes"
DOI: 10.3390/genes9020104
Abstract: Death investigations often include an effort to establish the postmortem interval (PMI) in cases in which the time of death is uncertain. The postmortem interval can lead to the identification of the deceased and the… read more here.
Keywords: postmortem interval; regression models; postmortem; random forest ... See more keywords
Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database
Sign Up to like & getrecommendations! Published in 2020 at "ADMET and DMPK"
DOI: 10.5599/admet.766
Abstract: The accurate prediction of solubility of drugs is still problematic. It was thought for a long time that shortfalls had been due the lack of high-quality solubility data from the chemical space of drugs. This… read more here.
Keywords: intrinsic solubility; database; solubility; random forest ... See more keywords