A synergy between gemology, mineralogy and technical sciences

The purpose of this paper is to explore the synergistic interactions that exist between certain fields in gemology and mineralogy on the one hand and in technical sciences on the other to highlight innovative applications of minerals, precious and semi-precious stones in telecommunications, medicine, optical and laser technologies, electronics, and microelectronics. A key aspect of gemological and mineralogical research is the accurate identification of an object through modern methods involving artificial intelligence systems and, in particular, artificial neural networks for efficient recognition. The description of the experimental processes is proved by software-realized examples of identification of mineralogical samples and simulation of sensor devices, the results of which contribute to the formulation of the justification of the scientific-applied value of the research.

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Publication Details

Journal
Godišnik Telekomunikacii/Godišnik na Departament Telekomunikacii
Published
2024-12-30
DOI
https://doi.org/10.33919/ytelecomm.24.11.1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

A synergy between gemology, mineralogy and technical sciences

Y. Ivanova
Godišnik Telekomunikacii/Godišnik na Departament Telekomunikacii
Geochemistry and Geologic Mapping
article

A synergy between gemology, mineralogy and technical sciences

Y. Ivanova
article en

Abstract

The purpose of this paper is to explore the synergistic interactions that exist between certain fields in gemology and mineralogy on the one hand and in technical sciences on the other to highlight innovative applications of minerals, precious and semi-precious stones in telecommunications, medicine, optical and laser technologies, electronics, and microelectronics. A key aspect of gemological and mineralogical research is the accurate identification of an object through modern methods involving artificial intelligence systems and, in particular, artificial neural networks for efficient recognition. The description of the experimental processes is proved by software-realized examples of identification of mineralogical samples and simulation of sensor devices, the results of which contribute to the formulation of the justification of the scientific-applied value of the research.

Godišnik Telekomunikacii/Godišnik na Departament TelekomunikaciiVol. 11
New Bulgarian University (BG)
Openalex Percentile: Top 71%
Geochemistry and Geologic Mapping
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