Results 151 to 160 of about 114,572 (313)

A multimodal fusion method for Alzheimer's disease based on DCT convolutional sparse representation. [PDF]

Front Neurosci, 2022
Zhang G, Nie X, Liu B, Yuan H, Li J, Sun W, Huang S.   +6 more
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Enhancing sparse representation of color images by cross channel transformation. [PDF]

PLoS One, 2023
Rebollo-Neira L, Inacio A.
europepmc   +1 more source

Sparse Representation in Classification [PDF]

, 2019
Sparse representation with learning-based overcomplete dictionaries has recently achieved impressive results in signal representation and outperforms traditional methods in tasks such as signal denosing and image inpainting.
Yuyao Zhang (594655)
core  

Interface Effects in Ultrathin Silicon on Insulator Films

Advanced Functional Materials, EarlyView.
This work establishes a systematic framework to discriminate how bulk and interface phenomena affect charge transport in ultrathin P‐doped silicon‐on‐insulator (SOI) films. For Si films below 15 nm, electrical characterization demonstrates that interface states drive charge transport, shifting the metal‐insulator transition (MIT) critical dopant ...
Andrea Pulici, Gabriele Seguini, Fabiana Taglietti, Roman Gumeniuk, Riccardo Chiarcos, Michele Laus, Johannes Heitmann, Marco Fanciulli, Michele Perego   +8 more
wiley   +1 more source

Low‐Fraction Irregular Inclusions Trigger Large Compression Stiffening in Biopolymer Hydrogels

Advanced Functional Materials, EarlyView.
Irregular inclusions at low filler fractions trigger large compression stiffening in biopolymer hydrogels. By promoting contact‐network formation under compression, these inclusions induce non‐affine rearrangements, stretch surrounding fibers, and provide parallel load‐bearing pathways.
Xuechen Shi, Jordan L. Shivers, Fred C. MacKintosh, Paul A. Janmey   +3 more
wiley   +1 more source

A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing. [PDF]

Sensors (Basel), 2023
Oikonomou VP, Georgiadis K, Kalaganis F, Nikolopoulos S, Kompatsiaris I.   +4 more
europepmc   +1 more source

Chemical Maturation Controls Bioavailability of Fetuin‐A‐Mineral Complexes in Biomineralization

Advanced Functional Materials, EarlyView.
The role of Fetuin‐A‐mineral complexes in matrix mineralization is unclear. Here, Fetuin‐A‐mineral complexes were found to exist in functionally distinct states that determine mineral bioavailability: chemically labile calciprotein monomers directly mineralize collagen fibrils, while chemically matured primary calciprotein particles require cellular ...
Judith M. Schaart, Luco Rutten, Shaina V. To, Alisha A. Shah, Martijn Martens, Elena Macías‐Sánchez, Willi Jahnen‐Dechent, Nico Sommerdijk, Anat Akiva   +8 more
wiley   +1 more source

Image restoration with group sparse representation and low‐rank group residual learning

IET Image Processing
Image restoration, as a fundamental research topic of image processing, is to reconstruct the original image from degraded signal using the prior knowledge of image.
Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma   +5 more
doaj   +1 more source

Noise filtering method in images in sparse-view covers

Компьютерная оптика
This article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary.
Y.V. Goshin, D.V. Arkhipova
doaj   +1 more source