Data Analytics in Spectroscopy / Joseph Dubrovkin.

Format:

Book

Author/Creator:

Dubrovkin, Joseph, author.

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Biomedical engineering.

Physical Description:

1 online resource (510 pages)

Edition:

First edition.

Place of Publication:

Newcastle upon Tyne, England : Cambridge Scholars Publishing, [2024]

Summary:

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.

Contents:

Intro

Table of Contents

Preface

About the Structure of the Book

Abbreviations

PART I

Introduction

Chapter One

Chapter Two

Chapter Three

Chapter Four

Conclusion

PART II

PART III

Chapter Five

PART IV

Afterword

Appendix A

Appendix B

Appendix C

Appendix D

Appendix E

Appendix F

Appendix G

Appendix H

Appendix I

Bibliography

Index.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Other Format:

Print version: Dubrovkin, Joseph Data Analytics in Spectroscopy

ISBN:

1-5275-8037-7