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Face validity of the model was validated by two UK ophthalmologists.
The pattern recognition efficiency was validated by two methods, a generalization regularization and a k-fold cross validation (k= 5).
The performances of the developed models were validated by two different methods, i.e., leave-1-out cross validation and bootstrapping.
The theoretical analysis is validated by two designed experiments.
The simulation is validated by two independent diffraction techniques.
High calculation speed and superior capability of the proposed method are validated by two test cases.
The GIS based developed tool is validated by two study cases.
The effectiveness of the proposed method is validated by two examples.
The GIS based numerical simulation is validated by two study cases.
The empirical model was validated by two extra experiments and a significantly good prediction was achieved.
Design formulas of the DFITs are derived and are validated by two examples.
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CEO of Professional Science Editing for Scientists @ prosciediting.com