Artificial Intelligence in Spectroscopy

Bibliographic Details
Title: Artificial Intelligence in Spectroscopy
Description: This textbook summarizes studies and significant materials on Artificial Intelligence in spectroscopy into a fundamental monograph. Its rigorous mathematical basis, in-depth detailed description, and numerous examples of applications in chemistry and physics make it valuable for theorists, practitioners, and students specializing in data processing in spectroscopy, chemometrics, and analytical chemistry. The bibliography part briefly describes hundreds of data analytics applications for solving Artificial Intelligence-based spectroscopic tasks in industrial and research laboratories. This book differs from existing brief reviews and articles on this topic in that it forms, for the first time, the big picture of all kinds of Artificial Intelligence methods in spectroscopy. Also, the book provides quickly reproducible computer calculations, illustrating its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in Artificial Intelligence in spectroscopy, including chemometrics and analytical chemistry.
Authors: Joseph Dubrovkin, Author
Resource Type: eBook.
Subjects: Artificial intelligence, Spectrum analysis--Data processing
Categories: COMPUTERS / Artificial Intelligence / General, SCIENCE / Spectroscopy & Spectrum Analysis
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4286810
RelevancyScore: 981
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 981.043701171875
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  Data: This textbook summarizes studies and significant materials on Artificial Intelligence in spectroscopy into a fundamental monograph. Its rigorous mathematical basis, in-depth detailed description, and numerous examples of applications in chemistry and physics make it valuable for theorists, practitioners, and students specializing in data processing in spectroscopy, chemometrics, and analytical chemistry. The bibliography part briefly describes hundreds of data analytics applications for solving Artificial Intelligence-based spectroscopic tasks in industrial and research laboratories. This book differs from existing brief reviews and articles on this topic in that it forms, for the first time, the big picture of all kinds of Artificial Intelligence methods in spectroscopy. Also, the book provides quickly reproducible computer calculations, illustrating its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in Artificial Intelligence in spectroscopy, including chemometrics and analytical chemistry.
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      – Code: 543.0858
        Scheme: ddc
        Type: prePub
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Spectrum analysis--Data processing
        Type: general
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      – TitleFull: Artificial Intelligence in Spectroscopy
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            NameFull: Joseph Dubrovkin, Author
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 23
              M: 08
              Type: profile
              Y: 2025
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              Value: 9781036453145
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