Results 91 to 100 of about 247,748 (272)
Image Super-Resolution via Self-Similarity Learning and Conformal Sparse Representation
It is well known that the super-resolution reconstruction method based on sparse representation has a superior research value. However, the sparse coefficients of low-resolution (LR) patches by a classic method are not loyal to high-resolution (HR ...
Shiyan Wang +4 more
doaj +1 more source
An in vitro testicular model is developed by generating connective tissue equivalents from human dermal fibroblast‐derived microtissues and coupling them with human Sertoli cells or human Sertoli cell spheroids. This engineered microenvironment supports Sertoli cell maturation and functionality, providing a promising platform for studying human ...
Annachiara Scalzone +4 more
wiley +1 more source
LRPS‐GCN: A millimeter wave sparse imaging algorithm based on graph signal
Aiming at the problems of slow speed and poor accuracy of traditional millimeter wave sparse imaging, a sparse imaging algorithm based on graph convolution model is proposed from the perspective of sparse signal recovery.
Li Che +3 more
doaj +1 more source
Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu +12 more
wiley +1 more source
Sparse Three-dimensional Imaging Based on Hough Transform for Forward-looking Array SAR in Low SNR
The performance of sparse reconstruction algorithm of compressive sensing in low Signal-to-Noise Ratio (SNR) is lower, and the quality of sparse three-dimensional imaging for forward-looking array synthetic aperture radar in low SNR is reduced greatly ...
Liu Xiangyang +4 more
doaj +1 more source
Recovery and convergence rate of the Frank-Wolfe Algorithm for the m-EXACT-SPARSE Problem
We study the properties of the Frank-Wolfe algorithm to solve the m-EXACT-SPARSE reconstruction problem, where a signal y must be expressed as a sparse linear combination of a predefined set of atoms, called dictionary.
Anthoine, Sandrine +3 more
core
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
High-Precision DOA Estimation Based on Synthetic Aperture and Sparse Reconstruction. [PDF]
Fang Y, Wei X, Ma J.
europepmc +1 more source
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source

