Sentence examples for methodologies for predictive from inspiring English sources
In concert with the growing awareness of the need to broadly assess the interconnected nature of infectious disease risk, there have been growing calls to develop tools and methodologies for predictive modelling of infectious disease outbreaks that assess, to some degree, the amplifying role that non-health factors play in propagating disease risk (17, 121, 122).
This paper presents a design methodology for predictive control of industrial processes via recurrent fuzzy neural networks (RFNNs).
To present a new methodology for investigating predictive factors associated with development of vision-related disability in glaucoma.
A new, analytical, orthonormal basis functions (OBF -based design methOBF -basedr adesigne predictive constrained control of open-loop stable, possibly nonmethodologyse, time-varying Wiener and Hammerstein systems is presented.
We developed a general methodology for constructing predictive distributions for fertility, mortality and migration.
However, neither study was particularly thorough in choosing the statistical methodology for the predictive models.
To our knowledge, our proposed three-step methodology for optimizing predictive analytics has not been applied to any healthcare domain to date.
Examples of fluid injection in shale reservoir hydraulic fracturing and waste disposal operations have been provided toward better understanding of the predictive methodologies for induced seismicity and preventive effort for sustainable and safe unconventional operations.
The present paper discusses response surface methodology (RS M as an efficient approach for predictive model building and optimization of hybrid complexation ultrafiltration process.
The present paper discusses response surface methodology (RSM) as an efficient approach for predictive model building and optimization of chromium adsorption on developed activated carbon.
We propose a design methodology for explicit Model Predictive Control (MPC) that guarantees hard constraint satisfaction in the presence of finite precision arithmetic errors.
