Sentence examples for modeling techniques namely from inspiring English sources

In this contribution two ensemble modeling techniques, namely greedy optimization and model stacking, have been presented and benchmarked on a PCM dataset comprising the bioactivities of COX inhibitors on 11 mammalian cyclooxygenases (Table 1).

The goal of this study is to test EPO on a wider set of soil properties and four different modeling techniques, namely, Partial Least Squares Regression (PLS), Artificial Neural Network (ANN), Random Forest (RF), and Support Vector Machine (SVM).

A combination of two modeling techniques namely Pseudo Rigid Body Model (PRBM) and Finite Element Analysis (FEA) was implemented to expedite the prototyping procedure which leads to the establishment of high performance mechanism.

The RST-based classifiers are compared with other predictive and rule based decision modeling techniques, namely logistic regression, support vector machines, random forests and C4.5.

Finally, a map is proposed that establishes bounds of appropriate usage for different modeling techniques, namely a macromechanics plasticity model and a micro-mechanics crystal plasticity model, which will be useful to engineers in the metal forming industry in choosing suitable simulation tools.

Secondly, the search for the possible specific PS-binding sites on the molecular surface of CT 4 was performed using two independent molecular modeling techniques, namely, molecular docking and molecular dynamics (MD).

The mathematical modeling technique, namely softcomputing modeling approach, is explored and used as a platform for development and validated with generated random data.

The multi-layered phishing detection method phishGILLNET is presented in Section 3. The modeling techniques employed by phishGILLNET namely PLSA, AdaBoost, and Co-Training are described in Sections 4, 5, and 6, respectively.

The scheme is based in the signal modeling techniques applied to deterministic signals, namely the Padé, the Prony and the Shanks methods.

With regard to the methods we combined several popular methods, namely process analysis [ 33, 34] and workflow modeling techniques with a focus on a great number of tumour entities instead of single cancer entities described in previous work.

The reduction procedure for the CH4/O2 model utilized a response modeling technique wherein the full mechanism was solved over a range of temperatures, pressures, and mixture ratios to establish the response of a particular variable, namely the chemical reaction time.