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Artificial intelligence and spectroscopic techniques for gemology applications

Title
Artificial intelligence and spectroscopic techniques for gemology applications / edited by Ashutosh Kumar Shu.
ISBN
9780750339278
9780750339261
9780750339254
9780750339285
Publication
Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]
Physical Description
1 online resource : illustrations (some color).
Local Notes
Access is available to the Yale community.
Notes
"Version: 20221201"--Title page verso.
Access and use
Access restricted by licensing agreement.
Biographical / Historical Note
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.
Summary
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.
Variant and related titles
IOP ebooks.
Other formats
Also available in print.
Print version:
Format
Books / Online
Language
English
Added to Catalog
January 19, 2023
Series
IOP (Series). Release 22.
IOP series in spectroscopic methods and applications.
IOP ebooks. 2022 collection.
[IOP release $release]
IOP series in spectroscopic methods and applications
IOP ebooks. [2022 collection]
Bibliography
Includes bibliographical references.
Audience
Gemologists/mineralogists in academia and industry.
Contents
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.
Also listed under
Shu, Ashutosh Kumar, editor.
Institute of Physics (Great Britain), publisher.
Citation

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