Accurate automatic classification system for 3D CT images of some vertebrate remains from Egypt

Accurate automatic classification system for 3D CT images of some vertebrate remains from Egypt

Vertebrate fossils/remains became recently significant in various study fields for determining the ecological biodiversity. However, with the great abundance of fossils/remains and their classes, there is a difficulty in identifying and detecting these classes. Hence, in this paper, an accurate mach...

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Bibliographic Details
Main Authors: Hussien A. Abdelaziz, Mohammed Sallah, Ahmed Elgarayhi, Fatma E. Al-Tahhan
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Journal of Taibah University for Science
Subjects:
Machine learning (ML)
vertebrate remains from Egypt
K-nearest neighbour (KNN)
decision tree (DT)
support vector machine (SVM)
features and segmentation
Online Access:https://www.tandfonline.com/doi/10.1080/16583655.2022.2096391

Internet

https://www.tandfonline.com/doi/10.1080/16583655.2022.2096391

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