Data Analytics In Spectroscopy
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Data Analytics in Spectroscopy
Author: Joseph Dubrovkin
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2024-02-06
This textbook summarizes various studies and significant materials on data analytics in spectroscopy. Its rigorous mathematical basis, in-depth description, and numerous examples of applications in chemistry and physics make this book valuable for theorists, practitioners, and students specializing in data processing in spectroscopy, chemometrics, and analytical chemistry. The bibliography briefly describes hundreds of data analytics applications for solving 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 data analytics methods in spectroscopy. The book also provides quickly reproducible computer calculations to illustrate its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in data analytics in the broad field of spectroscopy, including chemometrics and analytical chemistry.
Data Analytics in Spectroscopy
This textbook summarizes various studies and significant materials on data analytics in spectroscopy. Its rigorous mathematical basis, in-depth description, and numerous examples of applications in chemistry and physics make this book valuable for theorists, practitioners, and students specializing in data processing in spectroscopy, chemometrics, and analytical chemistry. The bibliography briefly describes hundreds of data analytics applications for solving 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 data analytics methods in spectroscopy. The book also provides quickly reproducible computer calculations to illustrate its significant theoretical statements. As such, it can also serve as a practical guide to lecturers in data analytics in the broad field of spectroscopy, including chemometrics and analytical chemistry.
Artificial Intelligence in Spectroscopy
Author: Joseph Dubrovkin
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2025-07-17
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.