Results 151 to 160 of about 12,320 (267)
Acoustic‐driven surface cleaning with millimeter‐sized bubbles at translational resonance
Time‐lapse visualization comparing bubble trajectories. The top panel (0 Hz) shows a bubble's linear path under no acoustic forcing, while the bottom panel (50 Hz) demonstrates the oscillatory motion induced by acoustic waves at a resonance mode. This mechanism holds promising potential for applications such as surface cleaning.
Yan Jun Lin +2 more
wiley +1 more source
Automated measurement of the minimum macular hole diameter based on optical coherence tomography images. [PDF]
Xu J +5 more
europepmc +1 more source
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan +5 more
wiley +1 more source
Local Versus Global Binarization Techniques After Frangi Filtering for Optical Coherence Tomography Angiography Based Retinal Vessel Density Assessment in Diabetic Retinopathy. [PDF]
Mirescu AE +9 more
europepmc +1 more source
Abstract Background Cardiac remodelling, a crucial aspect of heart failure, is commonly investigated in preclinical models by quantifying cardiomyocyte cross‐sectional area (CSA) and microvascular density (MVD) via histological methods, such as immunohistochemistry.
Tamás G. Gergely +14 more
wiley +1 more source
Model split-based data privacy protection method for federated learning
Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data. However, the SL still has limitations such as potential data privacy leakage.
CHEN Ka
doaj
Robust Cell Segmentation for Size Distribution Estimation via Synthetic-Data Training. [PDF]
Kim HB +5 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Extending homomorphic algorithms for encrypted text comparison. [PDF]
Seco-Aguirre I +3 more
europepmc +1 more source
Abstract Objective This study investigated whether idiopathic generalized epilepsies (IGEs) are associated with neuroinflammation by measuring neurometabolite levels and brain temperature using whole‐brain magnetic resonance spectroscopy imaging (MRSI).
Yun Lien +11 more
wiley +1 more source

