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The model demonstrates good performance in both accuracy and efficiency for scene interpretation of high-resolution SAR images.
Through the verification and the comparison by simulating a benchmark case, the improved model demonstrates good accuracy and stability.
The so obtained model demonstrates good agreement with experimental data on CNT blended rubbers available in literature.
Fitted with the experimentally-determined wear rates, a stage-wise GTRF engineering wear model demonstrates good agreement with in-reactor experience in predicting the trend of cladding lives.
The model is validated by a complete greenhouse climate model and a Venlo type commercial greenhouse, and the results indicate that the proposed model demonstrates good simulation performance, and is suitable to be used to greenhouse climate control design.
The model demonstrates good predictive capability for the time variations in bubble diameter and gas-phase composition, the latter being measured via gas chromatography by sampling the gas from the suspended bubble.
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Hosmer and Lemeshow goodness of fit tests suggested that the final model demonstrated good fit (χ = 6.67, p = 0.57); in addition Nagelkerke R 2 = 0.28 and - 2LL = 70.44.
Out of the aforesaid models, ANN model demonstrated good results based on accuracy measurement.
Measurements of MDL using an experimental prototype based on this model demonstrated good agreement with simulated data.
The semi-distributed model demonstrated good validation performances, while the fully distributed model was more sensitive to data uncertainties.
Predictions of the model demonstrate good agreement with experimental data with respect to the above mentioned phenomena.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com