000 03798nam a2200637 i 4500
001 9780750339278
003 IOP
005 20230516170329.0
006 m eo d
007 cr cn |||m|||a
008 230109s2022 enka fob 000 0 eng d
020 _a9780750339278
_qebook
020 _a9780750339261
_qmobi
020 _z9780750339254
_qprint
020 _z9780750339285
_qmyPrint
024 7 _a10.1088/978-0-7503-3927-8
_2doi
035 _a(CaBNVSL)thg00083536
035 _a(OCoLC)1358413819
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQE392
_b.A785 2022eb
072 7 _aPNFS
_2bicssc
072 7 _aSCI078000
_2bisacsh
082 0 4 _a553.8
_223
245 0 0 _aArtificial intelligence and spectroscopic techniques for gemology applications /
_cedited by Ashutosh Kumar Shu.
264 1 _aBristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :
_bIOP Publishing,
_c[2022]
300 _a1 online resource (various pagings) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _a[IOP release $release]
490 1 _aIOP series in spectroscopic methods and applications
490 1 _aIOP ebooks. [2022 collection]
500 _a"Version: 20221201"--Title page verso.
504 _aIncludes bibliographical references.
505 0 _a1. 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.
520 3 _aThis 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.
521 _aGemologists/mineralogists in academia and industry.
530 _aAlso available in print.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
545 _aAshutosh 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.
588 0 _aTitle from PDF title page (viewed on January 9, 2023).
650 0 _aGemology
_xData processing.
_971043
650 0 _aArtificial intelligence
_xIndustrial applications.
_95729
650 0 _aSpectrum analysis.
_911993
650 7 _aSpectrum analysis, spectrochemistry, mass spectrometry.
_2bicssc
_970504
650 7 _aSCIENCE / Spectroscopy & Spectrum Analysis.
_2bisacsh
_971044
700 1 _aShu, Ashutosh Kumar,
_eeditor.
_971045
710 2 _aInstitute of Physics (Great Britain),
_epublisher.
_911622
776 0 8 _iPrint version:
_z9780750339254
_z9780750339285
830 0 _aIOP (Series).
_pRelease 22.
_971046
830 0 _aIOP series in spectroscopic methods and applications.
_970283
830 0 _aIOP ebooks.
_p2022 collection.
_971047
856 4 0 _uhttps://iopscience.iop.org/book/edit/978-0-7503-3927-8
942 _cEBK
999 _c82946
_d82946