首页|Josip Juraj Strossmayer University Osijek Reports Findings in Machine Learning ( Ensemble machine learning prediction of anaerobic co-digestion of manure and the rmally pretreated harvest residues)

Josip Juraj Strossmayer University Osijek Reports Findings in Machine Learning ( Ensemble machine learning prediction of anaerobic co-digestion of manure and the rmally pretreated harvest residues)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Osijek, Croa tia, by NewsRx correspondents, research stated, “This study aimed to clarify the statistical accuracy assessment approaches used in recent biogas prediction stu dies using stateof- the-art ensemble machine learning approach according to 10-f old cross-validation in 100 repetitions. Three thermally pretreated harvest resi due types (maize stover, sunflower stalk and soybean straw) and manure were anae robically co-digested, measuring biogas and methane yield alongside eight therma l preprocessing and biomass covariates.”

OsijekCroatiaEuropeCyborgsEmergi ng TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.16)