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Stated-preference driving simulator data is employed for model estimation.
The in vivo and simulator data showed good agreement in kinematic patterns and ranges of clinical motion.
We qualitatively compare simulator data to observed field data and show that changes in well productivity due to fracture interference can be explained by alteration of fracture half length and/or fracture conductivity.
The accurateness of the modeling technique is validated by real time simulator data and compared with the three other types of modeling, namely Neural Network, P&O and single-diode model.
Figure 4 An example simulator data for Congested traffic.
Figure 5 An example simulator data for Flow traffic.
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In addition to utilizing SPARTA together with a sequence simulator for simulating data sets that resemble an input MSA (as shown in fig. 5), our method can also be utilized to detect indel dynamics parameters for specific genes or lineages.
Integration of simulators, data sources, optimizers and other tools is discussed in this paper.
The proposed RLEM model is evaluated on a synthetic data set, on a traffic flow data simulator and on two real-world traffic flow data sets.
In this paper, a fast and effective scene raw data simulator is developed based on the effectual access of 2-D FS with high precision and quantificational analysis and correction of phase space variance of it.
Currently, there are no compromises on the exact metrics of a SAR raw data simulator evaluation.
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