In this paper, the wavelet transform methods were briefly introduced, and present
researches and applications of them in hydrology were summarized and reviewed from six …

Understanding how chromatin is spatially and dynamically organized in the nucleus of
eukaryotic cells and how this affects genome functions is one of the main challenges of cell …

Understanding bed load transport fluctuations in rivers is crucial for development of a
transport theory and for choosing a sampling interval for “mean” transport rates. Field‐scale …

Agro-meteorological quantities are often in the form of time series, and knowledge about
their temporal scaling properties is fundamental for transferring locally measured …

A data analysis method is proposed to cluster and explore spatio-temporal characteristics of
the 22 years of precipitation data (1982–2003) for Taiwan. The wavelet transform self …

Discrete wavelet transform (DWT) is commonly used for wavelet threshold de-noising,
wavelet decomposition, wavelet aided hydrologic series simulation and prediction, as well …

We develop methods to estimate the intensity‐duration‐frequency (IDF) curves for three
rainfall models with local multifractal behavior and varying complexity. The models use the …

Breast cancer is the most common type of cancer among women and despite recent
advances in the medical field, there are still some inherent limitations in the currently used …

Starting about thirty years ago, new ideas in nonlinear dynamics, particularly fractals and
scaling, provoked an explosive growth of research both in modeling and in experimentally …

The present study uses hourly rainfall measurements from 36 raingauge stations in the
northeastern United States with more than 55 years of recordings, to assess the accuracy …