Automatic amber gemstones identification by color and shape visual properties-Reference-Cited by-同舟云学术

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Automatic amber gemstones identification by color and shape visual properties

Published:2015-01 Issue: Volume:37 Page:258-267
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sinkevicius Saulius,Lipnickas Arunas,Rimkus Kestas

Funder

European Social Fund

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference32 articles.

1. Aly, M., 2005. Survey on Multiclass Classification Methods. Technical Report. Caltech, USA.

2. A survey of cross-validation procedures for model selection;Arlot;Stat. Surv.,2010

3. Half & Half Bagging and Hard Boundary Points. Technical Report 534;Breiman,1998

4. Classification and Regression Trees;Breiman,1984

5. Colour based image segmentation using k-means clustering;Chitade;Int. J. Eng. Sci. Technol.,2010

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2. A Comprehensive System for Accurate Identification of Gemstones from Corundum, Topaz, and Chrysoberyl Families Using Machine Learning Techniques;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

3. The contribution of amber to heritage tourism development;Geographia Polonica;2023-11-13

4. Machine learning applied to emerald gemstone grading: framework proposal and creation of a public dataset;Pattern Analysis and Applications;2021-12-02

5. Results of the study of the possibility of replacing the Gia GemSet, designed for evaluating the color of precious stones, with digital simulators for automated control systems;Journal of Physics: Conference Series;2021-02-01

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