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TIle model developed is relatively simple.
This mathematical model developed is validated against published data acquired from literature.
The model developed is successfully implemented in the commercial ABAQUS software.
The neural model developed is also compared to an existing non-linear statistical model.
A particle relaxation time range, where the model developed is reliably applicable, is evaluated.
The non-linear cumulative damage model developed is written on the scale of the plies.
The model developed is a practical tool for assessing migration of subsurface contamination and proper designing of remediation technologies.
The model developed is based on the use of continuous functions describing spatial distributions of cost and customer demand.
The second model developed is similar to the first model; however, fins were embedded instead of pins.
The numerical model developed is employed to evaluate the performance of the new system during gasification of dried sewage sludge.
The model developed is a potential tool for forecasting air quality parameters and is superior to traditional neural network methods.
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