Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two
time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the …

Timely and effective fault detection is essential to ensure the safe and reliable operation of
wind turbines. However, due to the complex kinematic mechanisms and harsh working …

The upper reaches of the Yellow River (URYR) comprise the main water-producing zone of
the Yellow River Basin. Quantifying the contribution rates of climate change and human …

The prevalence of neurodegenerative diseases (NDD) has grown rapidly in recent years
and NDD screening receives much attention. NDD could cause gait abnormalities so that to …

Multi-scale permutation entropy (MPE) is an effective nonlinear dynamic approach for
complexity measurement of time series and it has been widely applied to fault feature …

Cardiac arrhythmia is a common difficulty of human cardiovascular system and can be
evaluated using cardiac rate variability. Multiscale Cross Sample Entropy (MCSEn) is used …

Complexity analysis of fractional-order chaotic systems is an interesting topic of recent
years. In this paper, the fractional symbolic network entropy measure algorithm is designed …

We develop a new cross-sample entropy, namely the multiscale cross-trend sample entropy
(MCTSE), to investigate the synchronism of dynamical structure regarding two series with …

Efficient and robust synchronization estimation, namely refined cross-sample entropy
(RCSE) measure, is presented in this study to analyze complex time series. Unlike the …

In this paper, we propose a multidimensional scaling (MDS) method based on complexity-
invariant distance (CID) and generalized complexity-invariant distance (GCID) to analyze …