Results 51 to 60 of about 1,387 (185)
Small Science, Volume 6, Issue 8, August 2026.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
Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran [PDF]
Journal of Sciences, Islamic Republic of Iran, 2019 Estimating the gravity anomaly causative bodies boundary can facilitate the gravity field interpretation. In this paper, 2D discrete wavelet transform (DWT) is employed as a method to delineate the boundary of the gravity anomaly sources.
ata eshaghzadeh +2 more
doaj +1 more source
The Haar wavelet characterization of weighted Herz spaces and greediness of the Haar wavelet basis
Journal of Mathematical Analysis and Applications, 2010 The authors study the class of dyadic \(A_p\)-weights in connection with dyadic maximal operators (where in both cases on considers dyadic cubes only) and show that one obtains results corresponding to the ones one gets for the usual \(A_p\)-weights and maximal operators.
Izuki, Mitsuo, Sawano, Yoshihiro
openaire +2 more sources
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.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
Approximate Solutions of Time Fractional Diffusion Wave Models
Mathematics, 2019 In this paper, a wavelet based collocation method is formulated for an approximate solution of (1 + 1)- and (1 + 2)-dimensional time fractional diffusion wave equations.
Abdul Ghafoor +4 more
doaj +1 more source
Computing consensus: Language ideological work in LLM‐assisted deliberative democracy
Journal of Linguistic Anthropology, Volume 36, Issue 2, August 2026.Abstract This article examines how the digital platform Polis and its experiments with large language models (LLMs) reconfigure democratic participation through a particular vision of consensus. Through analysis of media coverage of Polis and developers' public discussions of the platform, I argue that developers reframe consensus from a discursive ...
Janet E. Connor
wiley +1 more source
Limitations of ITA for Skin Type Estimation Under Uncontrolled Imaging Conditions
Skin Research and Technology, Volume 32, Issue 8, August 2026.ABSTRACT Background Accurately assessing skin color diversity is essential for evaluating whether image datasets without explicit skin type labels are sufficiently diverse for training deep learning models. Traditional methods, such as the Fitzpatrick scale, categorize skin types into six discrete classes but may not fully capture the complexity of ...
Neda Alipour, Ted Burke, Jane Courtney
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Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.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
Sparse orthogonal matrices and the Haar wavelet
Discrete Applied Mathematics, 2000 The authors discuss the sparsity of orthogonal matrices which have a column of nonzero entries. It is shown that the minimun number of nonzero entries in such a matrix of size \(m\times m\) is \[ (\lfloor m\rfloor +3)m-2^{\lfloor m\rfloor+1}. \] This is optimal, as the paper characterizes the matrices which achieve this number.
Gi-Sang Cheon, Bryan L. Shader
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Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
Journal of Forecasting, Volume 45, Issue 4, Page 1652-1664, July 2026.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