Results 1 to 10 of about 14,550,556 (255)
Time Series Analysis Using Composite Multiscale Entropy
Entropy, 2013 Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the ...
Kung-Yen Lee +4 more
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A mechanistic protrusive-based model for 3D cell migration
European Journal of Cell Biology, 2022 Cell migration is essential for a variety of biological processes, such as embryogenesis, wound healing, and the immune response. After more than a century of research—mainly on flat surfaces—, there are still many unknowns about cell motility.
Francisco Merino-Casallo +3 more
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Composite multiscale coherence and application to functional corticomuscular coupling
Medicine in Novel Technology and Devices, 2023 Though coherence, a classical method to describe the linear correlation between two time series, has wide-ranging applications, from economics to neuroscience, it fails to illustrate the inherently multi-time scales-based correlations.
Xiaoling Chen +6 more
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Time-Delay Identification Using Multiscale Ordinal Quantifiers
Entropy, 2021 Time-delayed interactions naturally appear in a multitude of real-world systems due to the finite propagation speed of physical quantities. Often, the time scales of the interactions are unknown to an external observer and need to be inferred from time ...
Miguel C. Soriano, Luciano Zunino
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Entropy, 2021 Multiscale entropy (MSE) analysis is a fundamental approach to access the complexity of a time series by estimating its information creation over a range of temporal scales. However, MSE may not be accurate or valid for short time series.
Airton Monte Serrat Borin +3 more
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Machines, 2023 The fault diagnosis of a gearbox is crucial to ensure its safe operation. Entropy has become a common tool for measuring the complexity of time series. However, entropy bias may occur when the data are not long enough or the scale becomes larger.
Xiang Wang, Han Jiang
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Frontiers in Plant Science, 2021 Plant disease detection technology is an important part of the intelligent agricultural Internet of Things monitoring system. The real natural environment requires the plant disease detection system to have extremely high real time detection and accuracy.
Xuewei Wang, Jun Liu
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Efficient Calculation of Multi-Scale Features for MMS Point Clouds [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesPoint clouds acquired by Mobile Mapping System (MMS) are useful for creating 3D maps that can be used for autonomous driving and infrastructure development.
K. Hiraoka, G. Takahashi, H. Masuda
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IEEE Access, 2019 Many nonlinear dynamic and statistic methods, including multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), have been widely studied and employed to fault diagnosis of the rolling bearing. Multiscale dispersion entropy (MDE) is a powerful
Congzhi Li +4 more
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Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE–MACNN
Entropy, 2022 Aiming to resolve the problem of redundant information concerning rolling bearing degradation characteristics and to tackle the difficulty faced by convolutional deep learning models in learning feature information in complex time series, a prediction ...
Yaping Wang +4 more
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