Data collected from the supervisory control and data acquisition (SCADA) system are widely
used in wind farms to detect wind turbines'(WTs) faults. However, it is challenging to extract …

To improve the complexity of chaotic signals, in this paper we first put forward a new three-
dimensional quadratic fractional-order multi-scroll hidden chaotic system, then we use the …

Sleep plays a substantial role in daily cognitive performance, mood, and memory. The study
of sleep has attracted the interest of neuroscientists, clinicians and the overall population …

A data set of clinical studies of electroencephalogram recordings (EEG) following data
acquisition protocols in control individuals (Eyes Closed Wakefulness-Eyes Open …

For finite time series, it is difficult to provide a convincing determination scheme for
specifying relevant parameters of entropy. This article proposes a new entropy, σ k E n …

The use of anaesthesia is a fundamental tool in the investigation of consciousness.
Anesthesia procedures allow to investigate different states of consciousness from sedation …

Water resources planning and management is critical for socio-economic, conflict resolution,
and agricultural purposes within the Niger Basin. Understanding the river system requires …

Distinguishing between chaotic and stochastic dynamics given an input series is a widely
studied topic within the time series analysis due to high demand from the practitioners in …

Among the existing measures of heart rate variability (HRV), the pNN50 statistics is one of
the most commonly reported. However, it is only a single member of a much larger family of …

Understanding brain activity across multiple scales is essential for unraveling the
complexities of neural function. From the macroscopic to the microscopic level, the brain …