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Pattern Recognition Applications in Engineering

Pattern Recognition Applications in Engineering

Copyright: © 2020 |Pages: 357
ISBN13: 9781799818397|ISBN10: 179981839X|EISBN13: 9781799818410
DOI: 10.4018/978-1-7998-1839-7
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MLA

Burgos, Diego Alexander Tibaduiza, et al., editors. Pattern Recognition Applications in Engineering. IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1839-7

APA

Burgos, D. A., Vejar, M. A., & Pozo, F. (Eds.). (2020). Pattern Recognition Applications in Engineering. IGI Global. https://doi.org/10.4018/978-1-7998-1839-7

Chicago

Burgos, Diego Alexander Tibaduiza, Maribel Anaya Vejar, and Francesc Pozo, eds. Pattern Recognition Applications in Engineering. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1839-7

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The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking.

Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Computer and Electrical Engineering (ACEE) Book Series
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Preface
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Acknowledgment
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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