Artificial intelligence and spectroscopic techniques for gemology applications /

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Artificial intelligence and spectroscopic techniques for gemology applications /

Institute of Physics (Great Britain), - Personal Name; Shu, Ashutosh Kumar, - Personal Name;

"Version: 20221201"--Title page verso.Includes bibliographical references.1. Laser-induced breakdown spectroscopy for gemological testing / Francesco Poggialini, Beatrice Campanella, Stefano Legnaioli, Simona Raneri and Vincenzo Palleschi -- 2. Raman spectroscopy for the non-destructive analysis of gemstones / Danilo Bersani, Laura Fornasini, Peter Vandenabeele and Anastasia Rousaki -- 3. Application of Fourier-transformed infrared spectroscopy and machine learning algorithm for gem identification / Pimthong Thongnopkun, Kanet Wongravee, Prompong Pienpinijtham and Aumaparn Phlayrahan -- 4. A ruby stone grading inspection using an optical tomography system / Syarfa Najihah Raisin, Juliza Jamaludin and Fatinah Mohd Rahalim -- 5. Trace elements and big data application to gemology by x-ray fluorescence / Yujie Gao, Moqing Lin, Xu Li and Xueying Sun.This collection highlights gemstone identification and analysis using spectroscopic techniques. It also includes the exciting applications of artificial intelligence and machine learning technologies that are being developed and used to enhance the efficiency of identification and analysis techniques.Gemologists/mineralogists in academia and industry.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Ashutosh Kumar Shukla has more than two decades of physics teaching and research experience. He has had numerous articles and review articles published in peer-reviewed journals.Title from PDF title page (viewed on January 9, 2023).

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Series Title: -
Call Number: -
Publisher: : .,
Collation: 1 online resource (various pagings) :illustrations (some color).
Language: English
ISBN/ISSN: 9780750339278
Classification: 553.8
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): Spectrum analysis.
SCIENCE / Spectroscopy & Spectrum Analysis.
Artificial intelligence
Gemology
Specific Detail Info: -
Statement of Responsibility: edited by Ashutosh Kumar Shu.

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