Sentence examples for morphological inputs from inspiring English sources

In the current use of this model, we used the morphological inputs (described below) as variables in mechanical simulations to predict mechanical energy expenditure.

This research is aimed at evaluating the most commonly used neural network architectures for cereal grain classification using the frequently used morphological features as inputs.

The results GORMANN are similar to a cross between a Kohonen SOM and morphological skeleton: the input is discretized and only the key features of the input are preserved.

The scheme is designed as a software package, which can be run as part of an atmospheric, hydrological or ecological model, or as a stand-alone model that operates with seven prognostic variables and 16 morphological and physiological input parameters.

Using the ROI morphological features as input data, an exploratory SVM was applied to classify patients with BD and patients with MDD.

Moreover, the climbing fibre inputs underwent morphological modifications, including a significant reduction in the dimensions of their varicosities.

It gathers an electromagnetic model of light-particle interaction along with detailed and validated protocols for the determination of input parameters: morphological and structural characteristics of the studied microorganisms as well as their photosynthetic-pigment content.

The individual feature vectors derived from textural and morphological methods are made as inputs of SVM classifier along with 10 fold validation scheme.

Eventually, a discrimination step is used by relying on the morphological and kinetic features as inputs to the support vector machine (SVM) classifier to reduce false positives detections.

Therefore, as demonstrated in the studies above, GFs has enough potentials to be utilized as an effective substrate to enhance the attachment of hMSCs, maintain the cell viability, and stimulate morphological changes without extrinsic biochemical inputs.

This is achieved by classifying the potential lesion regions into two classes, lesion and normal breast tissue, based on the morphological and kinetic features as inputs to the SVM classifier.