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Joshua Agbanu

Kwame Nkrumah University of Science and Technology, Ghana

Department of Biochemistry and Biotiotechnology

KNUST

Kumasi, 233

Ghana

  • Kwame Nkrumah University of Science and Technology, Ghana

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Application of Supervised Machine Learning Techniques for Improved Prediction of Bioturbation: Example from the Subei Basin, China

Number of pages: 37 Posted: 22 Feb 2024
Jonathan Atuquaye Quaye, kwame sarkodie, Zaixing Jiang, Joshua Agbanu, Baiqiang Li and Chenlin Hu
Kwame Nkrumah University of Science and Technology, Ghana, Kwame Nkrumah University of Science and Technology, Ghana, China University of Geosciences, Beijing, Kwame Nkrumah University of Science and Technology, Ghana, Anhui University of Science and Technology and Xinjiang University
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Machine learning Bioturbation ClassificationSupervised LearningSubei Basin