I learned a tremendous amount in that 4 months, not just about the immediate scientific subject but also about different ways of approaching experiments.
To verify the effectiveness of the proposed approach, experiments on a commercial engine simulation software have been conducted.
To optimize MAE conditions, three main factors were selected using univariate approach experiments, and then central composite design (CCD).
Using this approach experiments on tomato plants have shown that it was possible to detect water stress, while the plants were continuously illuminated by fluorescent lamps.
To validate this approach, experiments are conducted on a quadcopter test-bed and comparisons are made between the estimated step response and the step response from testing.
To validate the model and approach, experiments are conducted which show that the predicted temperatures are satisfactorily consistent with the experimental data.
To verify the presented approach, experiments have been conducted and the results show that it can be used to infer gene regulatory networks successfully.
To verify the effectiveness of the proposed approach, experiments on both simulation engine in commercial software and real engine in test bench have been conducted.
To validate this approach, experiments were carried out using a modified Double Cantilever Beam with ply drops, with the results being compared with model predictions.
The approach experiments were performed on E. coli bacterium without surface appendage.
