Results 301 to 310 of about 721,188 (387)
A synergistic approach for enhanced eye blink detection using wavelet analysis, autoencoding and Crow-Search optimized k-NN algorithm. [PDF]
Chandralekha M+5 more
europepmc +1 more source
The dynamic polarization reversal of coexisting normal and relaxor ferroelectrics in 1D TMAPbI₃ (tetramethylammonium, TMA) is deciphered through combined experimental and theoretical approaches. By bridging atomic‐scale motion, macroscopic polarization switching, and depolarization effects, a universal methodology is established to engineer next ...
Chen Xue+8 more
wiley +1 more source
Hippocampal functional imaging-derived radiomics features for diagnosing cognitively impaired patients with Parkinson's disease. [PDF]
Zeng W+8 more
europepmc +1 more source
In this work, the tandem catalyst consisted of single Fe atom and Fe3C nanoparticles on porous carbon sheet is initially proposed and developed to facilitate the dissociation of Li(solvent)x+ to release more isolated Li+ to participate in the subsequent polysulfide redox conversions by decreasing the related barriers, contributing to fast kinetics of ...
Yuhang Lin+12 more
wiley +1 more source
WHA-Net: A Low-Complexity Hybrid Model for Accurate Pseudopapilledema Classification in Fundus Images. [PDF]
Pei J+6 more
europepmc +1 more source
A copper‐induced atom ordering strategy is developed for the reconstruction of raw commercial Pt catalyst into ordered PtFeCu intermetallic compounds for hydrogen fuel cells. Abstract Carbon‐supported platinum intermetallic compound nanoparticles are seen as the next‐generation cathodic catalysts for hydrogen fuel cells due to their high activity and ...
Yan Nie+9 more
wiley +1 more source
A noise-robust classification method for cryo-ET subtomograms with out-of-distribution detection. [PDF]
Meng W, Yu X, Zhang T, Han R.
europepmc +1 more source
Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods. [PDF]
Li W+9 more
europepmc +1 more source
Wavelet-Based Topological Loss for Low-Light Image Denoising. [PDF]
Malyugina A, Anantrasirichai N, Bull D.
europepmc +1 more source