Ashutosh Kumar Shukla 
Artificial Intelligence and Spectroscopic Techniques for Gemology Applications [EPUB ebook] 

Supporto

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. Laser-induced breakdown spectroscopy, Raman spectroscopy and FTIR spectroscopy applications are discussed in separate chapters. Ruby stone grading stone using optical tomography is the theme of another chapter. Chapters introduce the relevant theoretical concepts and present typical experimental methodologies with a focus on gemological applications and include experimental results and potential for future developments. A reader-friendly approach has been adopted throughout the book and basics of techniques have been included wherever appropriate. It provides a unique addition to the knowledge base in view of emerging applications of spectroscopic and information techniques in gemology. It not only suits the need of novice researchers but also intends to connect the experts to the state of the art in spectroscopic technology and associated machine learning applications.
Key Features:


  • Includes case studies, recent trends and future prospects.

  • Includes experimental set up as well as theoretical description.

  • Encompasses applications and potential of AI and ML In gemology.

  • Individual chapter content level designed to address the needs of novice researchers, as well as experienced researchers and technicians.


€124.99
Modalità di pagamento

Tabella dei contenuti

1 Laser-Induced Breakdown Spectroscopy for gemological testing

2 Raman spectroscopy for the non-destructive analysis of gemstones

3 Application of FTIR spectroscopy and machine learning algorithm for gems identification

4 A ruby stone grading inspection using an optical tomography system

5 Trace elements and big data application to gemology by XRF

Circa l’autore

Ashutosh Kumar Shukla obtained his B.Sc., M.Sc. and D. Phil. degrees from the University of Allahabad. His doctoral research work involved using electron spin resonance spectroscopy and optical absorption spectroscopy to investigate transition ion-doped single crystals. He has been a university teacher and researcher for 20 years and is currently an Associate Professor of Physics at Ewing Christian College, Allahabad, a University of Allahabad institution. He also served as an Associate Professor (Pure and Applied Physics) at Guru Ghasidas Vishwavidyalaya, Bilaspur, C.G. (A Central University). He has published numerous research papers in peer-reviewed journals and has edited various books, mostly on applications of EPR spectroscopy. He has delivered several invited lectures on characterization techniques at national and international conferences and workshops. He reviews manuscripts for a number of international journals. He has received numerous scholarships and fellowships, including National Scholarship, Scholarship of Ministry of Higher Education, Government of U. P., Research Fellowship of the Council of Science & Tech., Lucknow, U.P., Research Fellowship of the Council of Scientific & Industrial Research, New Delhi and the Indian National Science Academy-Bilateral Exchange Fellowship.

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Lingua Inglese ● Formato EPUB ● Pagine 150 ● ISBN 9780750339278 ● Dimensione 9.2 MB ● Editore Ashutosh Kumar Shukla ● Casa editrice Institute of Physics Publishing ● Città Bristol ● Paese GB ● Pubblicato 2022 ● Scaricabile 24 mesi ● Moneta EUR ● ID 8737104 ● Protezione dalla copia Adobe DRM
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