In this study, we apply a bibliometric analysis paired with a subsequent snowball sampling
procedure. Moreover, we display a full citation network analysis, outlining the most relevant …

Background and objective With the acceleration of social rhythm and the increase of
pressure, there are various sleep problems among people. Sleep staging is an important …

The wind is a natural source of energy and wind energy occupies an important share in the
global energy structure. Compared with offshore wind energy, the economy and availability …

The multi-fractal analysis has been applied to investigate various stylized facts of the
financial market including market efficiency, financial crisis, risk evaluation and crash …

In this study, we conduct a rolling window approach to wavelet-filtered (denoised) S&P500
returns (2000− 2020) to obtain time-varying Hurst exponents. We discuss implications of …

Forecasting cargo throughput is an essential albeit challenging task in ensuring efficient
seaport management. In this study, data analytics is employed to analyze the nonlinear …

The long range dependence of the fractional Brownian motion (fBm), fractional Gaussian
noise (fGn), and differentiated fGn (DfGn) is described by the Hurst exponent H. Considering …

This paper proposes a new Hurst exponent-based method to evaluate the performance of
control loops by estimating Minimum Variance Index (MVI). Incorrect estimation of time …

This study deals with managing supply chain costs and profit for ports' hinterland shipments
and container transshipment under stochastic disruptions. The underlying mechanisms …

In this study, we present a novel approach to estimating the Hurst exponent of time series
data using a variety of machine learning algorithms. The Hurst exponent is a crucial …