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Data · dataset · 2025

Machine learning-based prediction and optimization of the cellulose conversion process for levulinic acid production

Listed in ScienceDB

This dataset is the data for predicting and optimizing the process of cellulose conversion to produce acetic acid based on machine learning in the paper.

Description

It includes the original dataset and is drawn using Python 3.9.12 for the purpose of analyzing and presenting the results of the paper. 

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 72%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00124.0034212 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4611enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (72%)
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