Hydrological complexity analysis using multiscale entropy: Methodological explorations and insights-Reference-Cited by-同舟云学术

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Hydrological complexity analysis using multiscale entropy: Methodological explorations and insights

Published:2024-05 Issue: Volume:80 Page:102424
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Liu Xintong,Zhao Hongrui

Funder

Hong Kong Polytechnic University

Research Institute for Sustainable Urban Development, Hong Kong Polytechnic University

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference45 articles.

1. Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis;Azami;Med. Biol. Eng. Comput.,2017

2. Complexity analyses of Sao Francisco river streamflow: influence of dams and reservoirs;Barreto;J. Hydrol. Eng.,2020

3. Characterization of surface EMG signal based on fuzzy entropy;Chen;IEEE Trans. Neural Syst. Rehab. Eng.,2007

4. Integrated research methods in watershed science;Cheng;Sci. China-Earth Sci.,2015

5. The effects of climate and anthropogenic activity on hydrologic features in Yanhe River;Cheng;Adv. Meteorol.,2016

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