Results 181 to 190 of about 66,224 (345)
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese +4 more
wiley +1 more source
From Microscale to Nanoscale Shadow Electrochemiluminescence Microscopy
In this research we report on the label‐free shadow electrochemiluminescence (shadow ECL) microscopy of microscale and nanoscale objects. By systematically investigating various influencing factors—including optical configuration, electrode activity, frame averaging, exposure time, and particle arrangement—we further confirm the nano‐imaging potential ...
Xiaodan Gou +5 more
wiley +2 more sources
Revisiting Possibilistic Fuzzy C-Means Clustering Using the Majorization-Minimization Method. [PDF]
Chen Y, Zhou S.
europepmc +1 more source
MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis
This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking, and segmentation modules to jointly analyze sperm morphology and motility.
Jiajin Li +10 more
wiley +1 more source
Precise building block design of poly(ionic liquids) creates an opportunity to achieve ionic conductivity, energy storage, and multi‐value logic in one material while eliminating elaborate fabrication processes. ABSTRACT In these studies, we developed a new generation of polymeric materials capable of electrical energy storage and forming higher‐than ...
Sourav Biswas +3 more
wiley +2 more sources
A robust MR-based attenuation map generation in short-TE MR images of the head employing hybrid spatial fuzzy C-means clustering and intensity inhomogeneity correction [PDF]
Mohammad Hadi Aarabi +4 more
openalex +1 more source
Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage. [PDF]
Zhang L, Song D, Qiu H, Ye L, Xu Z.
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source

