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Our hybrid modeling approach achieved more than 77% reduction in RMSE than KF approach.
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The new hybrid sparse memetic modeling approach also achieved fuzzy systems leading to higher fault detection rates for some scenarios.
The results of the empirical comparison indicate an agent-based modeling approach would achieve a characterization model better with validation achieved through an event-based approach.
We found that the D/S/A LUR modeling approach could achieve good results, with prediction powers of 60%, 63%, and 61%, respectively, for BC, UVBC, and Delta-C.
We combine novel experimental and modeling approaches to achieve this goal.
BIM provides detailed physical and functional characteristics of buildings that can be integrated with various environmental modeling approaches to achieve a holistic design and assessment of low carbon buildings.
Computational experiments show that solutions achieved by this modeling approach are practical and the speed of achieving the solutions is fast enough for responding to disruptions in real time.
Both approaches achieved their aims.
These results validated the generalizability of the GPR modeling approach, as high accuracy was achieved when training the model on one data set and testing on an entirely independent data set.
Although better results may be obtained by comparing the viral decline at earlier time points (such as day 2 or 7) the power of the Wilcoxon test remained lower than those achieved by modeling approach (not shown).
In the best performing combination of modeling approach and classification technique, we achieve overall accuracy, precision, recall and F1-score above 80%.
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