Results 161 to 170 of about 48,878 (307)
Physics-Guided Dual-Branch Fusion Model for High-Resolution Range Profile Target Recognition. [PDF]
Xia Z, Wu M, Xiao F, Liu H.
europepmc +1 more source
Compressive Sensing for PAN-Sharpening
Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1].
Bamler, Richard +3 more
core
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa +6 more
wiley +1 more source
CNN Bearing Fault Diagnosis Based on Symmetric Point Pattern Feature Fusion with Multi-Source Resonance Sparse Components. [PDF]
Liu Y +7 more
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
Speech Recognition with an fMRISNN Constrained by Human Functional Brain Networks: A Study of Enhanced MFCC-Driven Sparse Spike Encoding. [PDF]
Guo L, Ma N, Wang Z, Liu R.
europepmc +1 more source
Sparse Representation in Classification
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
Inverse Design of Amorphous Materials With Targeted Properties
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
Source signal sparsity enhancement based on local maximum synchronous extraction transform algorithm for mixed matrix estimation in UBSS. [PDF]
Li X +5 more
europepmc +1 more source

