Recurrence Plots and Their Quantifications: Methodological Breakthroughs and Interdisciplinary Discoveries by Yoshito Hirata - ISBN: 9783031910616
Hardcover
Uncover hidden patterns: Recurrence plots unlock insights across disciplines.

Recurrence Plots and Their Quantifications: Methodological Breakthroughs and Interdisciplinary Discoveries

Proceedings of the 10th International Symposium on Recurrence Plots, Tsukuba, Japan, 28–30 August 2023

$409.28

  • Hardcover

    239 pages

  • Release Date

    30 July 2025

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Summary

This book collects selected contributions from the 10th Recurrence Plot Symposium, held at the University of Tsukuba, Japan (August 28-30, 2023). It reflects on the achievements of the previous nine symposia while exploring future prospects of recurrence plots and their quantifications in combination with other key research strategies.

The book provides a comprehensive bibliographic overview of the methodology, offering a solid foundation for both new and experienced researchers. It d…

Book Details

ISBN-13:9783031910616
ISBN-10:3031910613
Author:Yoshito Hirata, Masanori Shiro, Miwa Fukino, Kazuyuki Aihara, Norbert Marwan, Charles L. Webber Jr.
Publisher:Springer International Publishing AG
Imprint:Springer International Publishing AG
Format:Hardcover
Number of Pages:239
Release Date:30 July 2025
Dimensions:155mm x 235mm
Series:Springer Proceedings in Complexity
A-Format
B-Format
C-Format
Recurrence Plots and Their Quantifications: Methodological Breakthroughs and Interdisciplinary Discoveries by Yoshito Hirata - ISBN: 9783031910616
155 × 235 mm
A4
mm / in
About The Author

Yoshito Hirata

Yoshito Hirata received a B.E. in mathematical engineering from the University of Tokyo and a Ph.D. in applied mathematics from the University of Western Australia. He is currently a Professor at the Institute of Systems and Information Engineering, University of Tsukuba.

Masanori Shiro received a Ph.D. in information science and technology from the University of Tokyo. He is currently a senior researcher at the National Institute of Advanced Industrial Science and Technology in Tsukuba.

Miwa Fukino received a Ph.D degree in Mathematical Informatics from the University of Tokyo. She is currently a Professor at the Department of Data Science, Faculty of Science and Engineering, Teikyo University.

Charles L. Webber Jr., received an A.B. degree in chemistry from Taylor University (1965–1969) with studies in mathematics from Illinois Institute of Technology (1970–1971). He earned a Ph.D. degree in medical physiology from Loyola University Chicago (1969–1973) followed by post-doctoral studies at the Max Planck Institute for Physiological and Clinical Research (1973–1975). He was invited to serve on the physiology faculty of Loyola for the remainder of his career, rising to the rank of full professor (1975-2013). Dr. Webber and Dr. Joseph Zbilut were the originators of Recurrence Quantification Analysis (1992–1994).

Kazuyuki Aihara received a B.E. degree in electrical engineering and a Ph.D. degree in electronic engineering from the University of Tokyo (UTokyo), Japan, in 1977 and 1982, respectively. Currently, he is a University Professor and Professor Emeritus at UTokyo, and Executive Director of the International Research Center for Neurointelligence (IRCN) at UTokyo. He also serves as the project manager for a Moonshot project of JST and the Cabinet Office of Japan on the comprehensive mathematical understanding of the complex control system between organs and challenge for ultra-early precision medicine.

Norbert Marwan received a diploma in theoretical physics from the Dresden University of Technology, Germany, in 2000, and a Ph.D. degree in theoretical physics from the University of Potsdam, Germany, in 2003. Currently, he serves as a deputy chair of the Complexity Science research department at the Potsdam Institute for Climate Impact Research (PIK), Potsdam and is a Professor at the Institute of Geosciences at the University of Potsdam. He is the main organiser of the biennial International Symposium on Recurrence Plots.

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