To address this issue, we proposed a method for crack growth rate measurements utilizing a semi-elliptical surface crack, the size of which is determined via marker bands.
To address this issue, we propose a new method to automatically grade placental maturity from B-mode ultrasound (BUS) and color Doppler energy (CDE) images based on a hybrid learning architecture.
To address this issue, we propose a new method termed subgroup-specific gene centering, which adjusts gene expression values relative to the expression level at a specified percentile, where the percentile for each gene is determined from a subgroup of the training cohort with clinicopathological characteristics similar to those of the study cohort.
To address this issue, we propose a regularized deconvolution method (RDM) based on an optimization procedure.
To circumvent this issue, we propose a two-step method that uses published S A thresholds and a logistic regression analysis (LR).
To address this issue, we propose a novel text-mining method for efficiently retrieving and extracting protein phosphorylation information from literature.
To address this issue, we propose a novel patch-matching method for HMAX called Dominant Orientation Patch Matching (DOPM), which calculates the dominant orientation of the selected patches and implements patch-to-patch matching.
To address this issue, we propose a facile displacement-based method for the seismic design of semi-rigid steel frame structures by directly and explicitly relating the target displacement and deformation to the appropriate sizing of various structural components in terms of their strength, stiffness, and ductility.
To address this issue, we propose a multi-view sparse subspace learning method called Multi-view Sparsity Preserving Projection (MvSPP) in this paper.
