Results 241 to 250 of about 214,531 (335)
Multiscale Interlaminar Enhancement of CNT Network/CF Hybrid Composites and In Situ Monitoring of Crack Propagation Behavior. [PDF]
Li T +6 more
europepmc +1 more source
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu +10 more
wiley +1 more source
A Cross-Scale Spatial-Semantic Feature Aggregation Network for Strip Steel Surface Defect Detection. [PDF]
Xu C, Sun Y, Huang L, Guo H.
europepmc +1 more source
Finite element error analysis of a variational multiscale method for the Navier-Stokes equations
Volker John, Songül Kaya
openalex +2 more sources
This study presents a novel in situ laser‐induced breakdown spectroscopy system for monitoring metal vapors produced by the intense laser‐metal interactions in laser powder bed fusion additive manufacturing and laser welding. The insights from this new technique reveal changes in alloy compositions and provide the first in situ validation of multi ...
Anna C. M. Getley +8 more
wiley +1 more source
Multiscale Modeling Analysis of the Mechanical Behaviors and Failures of In Situ Particle Reinforced Titanium Matrix Composites Based on Microstructural Characteristics. [PDF]
Geng X +5 more
europepmc +1 more source
Multiscale Method for Oseen Problem in Porous Media with Non-periodic Grain Patterns. [PDF]
Muljadi BP.
europepmc +1 more source
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou +5 more
wiley +1 more source
Enhanced DeepLabV3+ with OBIA and Lightweight Attention for Accurate and Efficient Tree Species Classification in UAV Images. [PDF]
Cheng X +9 more
europepmc +1 more source
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source

