Results 221 to 230 of about 259,715 (355)
Spatially adaptive wavelet thresholding with context modeling for image denoising
S. G. Chang, Bin Yu, Martin Vetterli
openalex +2 more sources
An effective image despeckling and reconstruction approach using U-Net based model and comparative analysis. [PDF]
Gokmen MS +3 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Noise reduction of low-dose electron holograms using the wavelet hidden Markov model. [PDF]
Tomita Y +3 more
europepmc +1 more source
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
Interscale image denoising with wavelet context modeling [PDF]
Lei Zhang, Paul Bao, David Zhang
openalex +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion [PDF]
George Papandreou, Petros Maragos
openalex +1 more source
Improved first arrival picking of microseismic P-waves in coal mines using multi-denoising and adaptive characteristic functions. [PDF]
Zhang Y +5 more
europepmc +1 more source

