Results 51 to 60 of about 3,308 (181)
Wavelet‐Based Hurst Exponent Estimation
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa +2 more
wiley +1 more source
Wavelet transform‐based AFM enables real‐time nanoscale imaging by applying wavelet analysis to raw cantilever deflection signals. It reveals non‐linear, transient and multi‐frequency dynamics beyond conventional steady‐state methods. Integrated with adaptive filtering and digital twin modelling, it produces high‐resolution, information‐rich maps of ...
Pardis Biglarbeigi +4 more
wiley +1 more source
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran +9 more
wiley +1 more source
Comparison of wavelet approximation order in different smoothness spaces
In linear approximation by wavelet, we approximate a given function by a finite term from the wavelet series. The approximation order is improved if the order of smoothness of the given function is improved, discussed by Cohen (2003), DeVore (1998), and ...
M. R. Islam +2 more
doaj +1 more source
Abstract Background Deep learning has become a dominant paradigm for low‐dose computed tomography (LDCT) image reconstruction. Nevertheless, existing approaches still struggle to simultaneously achieve accurate structural detail preservation and computational efficiency, particularly when handling long‐range contextual dependencies. Purpose To design a
Jianfang Li +3 more
wiley +1 more source
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley +1 more source
Haar wavelet collocation method for the numerical solution of singular initial value problems
In this paper, numerical solutions of singular initial value problems are obtained by the Haar wavelet collocation method (HWCM). The HWCM is a numerical method for solving integral equations, ordinary and partial differential equations.
S.C. Shiralashetti +2 more
doaj +1 more source
ABSTRACT Employee perceptions of human resource (HR) practices have become a central focus in strategic human resource management (HRM) research due to their impact on individual and organizational outcomes. Recent studies highlight the importance of understanding how these perceptions are formed, what they encompass, and why they vary across employees.
Jeske van Beurden +4 more
wiley +1 more source
ABSTRACT To remain competitive, organisations increasingly rely on human resources (HR) to operate as a strategic business partner responsible for developing employee capability. Although prior research highlights the centrality of supervisor–employee relationships for effective coaching, little is known about whether employees' perceptions of the ...
Jesse William Mowat +2 more
wiley +1 more source
ANALISIS DEKOMPOSISI WAVELET PADA PENGENALAN POLA LURIK DENGAN METODE LEARNING VECTOR QUANTIZATION
Indonesia merupakan negara yang terdiri dari banyak suku dan adat istiadat. Keragaman budaya di Indonesia juga dapat dilihat dari kerajinan tenun seperti songket dari daerah sumatra, ulos dari daerah batak, dan kain lurik dari daerah jawa tengah.
Bambang Robi'in
doaj +1 more source

