Results 221 to 230 of about 127,617 (265)
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester +6 more
wiley +1 more source
Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models. [PDF]
Bingham J, Zonouz S, Aran D.
europepmc +1 more source
Precise forecasting of shear stress, viscosity, and density for an aqueous CuO/CaCO<sub>3</sub>/SiO<sub>2</sub> ternary hybrid nanofluid utilizing the artificial neural network. [PDF]
Jin Y +6 more
europepmc +1 more source
Application of Explainable Artificial Intelligence Based on Visual Explanation in Digestive Endoscopy. [PDF]
Cai X, Zhang Z, Zhao S, Liu W, Fan X.
europepmc +1 more source
Integrating multiple seismic attributes for fault detection using a new hybrid machine learning. [PDF]
Esmaeili H, Bagheri M, Esmaeili S.
europepmc +1 more source
A deep learning framework for predicting the effect of surface topography on thermal contact resistance. [PDF]
Zhou M +5 more
europepmc +1 more source

