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Results were interpreted via modeling approaches using resistance-in-series as well as combined pore-blockage and cake filtration.
In this paper, three modeling approaches using a Neural Network (NN), Response Surface Method (RSM) and response surface method basis Global Harmony Search (GHS) are applied to predict the daily time series suspended sediment load.
In this regard, the paper presents two intelligent modeling approaches using an Artificial Neural Network (ANN) and an Adaptive Neuro Fuzzy Inference System (ANFIS) for the first time to accurately calculate the suction, discharge and injection mass flow rates (˙mSUC, ˙mDIS, and ˙mINJ), compressor electrical power (˙WCOMP), and refrigerant temperature at compressor discharge (TDIS) for a VSSCV.
Therefore, many national and global estimates of population health have relied on extrapolation and modeling approaches using limited data (1).
In the following section, we illustrate the differences between black-box and modeling approaches using an example from everyday life.
By protein modeling approaches using the known sequences of TES components, only TES26 and MUC4 displayed folding patterns significantly related to reference serine proteinases.
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There are a variety of modeling approaches used to predict and understand human behavior.
We discuss the impact of public holidays modeling approaches used for electricity load forecasting.
JPM and MO provided input on the manuscript text and modeling approaches used.
The remainder of this paper is organized as follows: first, the underlying criminological theories are introduced along with the modeling approaches used in this work.
The two main machine learning modeling approaches used are a Gaussian Naïve Bayes (GNB) classifier and linear regression.
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