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.
Auflage
Sprache
Verlagsort
Newcastle upon Tyne
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Maße
Höhe: 212 mm
Breite: 148 mm
ISBN-13
978-1-0364-5313-8 (9781036453138)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Joseph Dubrovkin gained a degree in Automatics from the Aviation Institute, Russia, in 1968, and Doctoral degrees in Technical Sciences and Physics and Mathematics from Leningrad State University, Russia, in 1979 and 1989 respectively. He was a Lecturer at the Aviation Institute and the Pharmaceutical Institute, Russia, and Western Galilee College (department of Bar-Ilan University), Israel, before retiring.
