Comparative Performance Analysis of Machine Learning and Regression Models for Predicting the Angle of Repose of Sericea lespedeza Seeds.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-30
DOI
https://doi.org/10.5281/zenodo.17002188
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative Performance Analysis of Machine Learning and Regression Models for Predicting the Angle of Repose of Sericea lespedeza Seeds.

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Comparative Performance Analysis of Machine Learning and Regression Models for Predicting the Angle of Repose of Sericea lespedeza Seeds.

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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Comparative Performance Analysis of Machine Learning and Regression Models for Predicting the Angle of Repose of Sericea lespedeza Seeds. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS