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In order to further explore the relationship between terrain and Araucaria forest we employ an inductive model, constructed using solely aspect and topographic position index (TPI, see Methods) as predictors.
The results proved that the model constructed using the artificial neural network is capable of correctly identifying the type of milk in almost 95% of cases.
In addition, the geometric model constructed using the proposed method is smooth and can be fabricated in various scales using solid freeform fabrication technology.
The surrogate model constructed using Proper Orthogonal Decomposition (POD) and Diffuse Approximation reduces the computational effort for solving the microscopic boundary value problems.
We also observe that the model constructed using our method retains reasonable accuracy even when the flow problem differs from that used to compute the upscaled functions.
A 3D shale lithofacies model constructed using mineral composition, rock geomechanical properties and TOC content can be applied to optimize the design of horizontal well trajectories and stimulation strategies.
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Next, four time-series models constructed using the same time range.
We have also constructed models using machine learning techniques and compared the performance of these models with the models constructed using Search Based Algorithms.
The predicted models were compared to their native 3D distal femur models constructed using their 3D MR images.
The estimates, ˆμ and ˆVar, were compared for models constructed using calibration and application data of the same date and models constructed using calibration and application data whose dates differed.
A suite of surrogate models constructed using different fitting methods is evaluated and validated for fast predictions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com