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Compared with the existing models, the proposed model has better capability and performance.
The results show that the proposed model has better performance than other algorithms in all respects.
The VIC model has better performance on the variability simulation of the first level of DAHF.
The numerical results show that the modified model has better performance than the ZA's model under ideal channel scenario.
Experimental results demonstrate that the proposed model has better average performance than GA-KDE model in diagnosis of breast cancer.
Simulation study is performed, which demonstrates that the proposed model has better accuracy than those in the literature.
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Generally, the global model had better modeling efficacy than the seasonal model (Fig. 8).
Accuracy evaluation results showed that the BRT model had better predictive performance than the MLSR.
The comparison indicated that our improved model had better agreement with the test data relative to the conventional models.
The results showed that the predictions of the distributed model have better agreement with literature experimental data than lumped model.
It was demonstrated that model predictions simulated by SWAT model had better performance when RESAC land use map was used, followed by STATE, and NLCD land use maps.
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CEO of Professional Science Editing for Scientists @ prosciediting.com