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Furthermore, this technique ignores the capability of evolutionary change to compensate for species responses to changing climate and they assume reliance upon credible climatic projections by assuming that the "suitable" habitat is saturated and the data input into models is accurate [9], [10], [11], [12], [13], [14].
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Results show that the models are accurate and reliable.
Compared to experimental measurements, theoretical models are accurate.
The models are accurate within centimeters, which could help architects and construction businesses gauge progress or issues on various jobs.
Before forecasting the groundwater level, whether these models are accurate is tested.
It was clear from Table 5 that all models were accurate and precise for AML, OLM and HCT determination.
They assumed that these empirical models are accurate (e.g., Du and Stening 1999).
In general, school stakeholders felt that models were accurate representations of their school.
The models are accurate but remain simple enough to be used for controller design.
The results show that the airflow models are accurate to design SDS.
Results show that the developed models are accurate and dependable for prediction of experimental data.
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