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Synthesis technology from a 2D image to a 3D image is performed in two steps: an estimation of the original 2D image depth map and then taking advantage of this depth map to synthesize a 3D stereoscopic image.
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For signals, phase synchronization is typically measured in two steps: (a) estimation of instantaneous phases of the signals, and (b) statistical quantification of a phase relationship (Rosenblum et al. 2001).
The method employs the signal strength as input, and has two steps: an initial estimation of the position of the nodes is obtained centrally by one robot and is based on particle filtering.
This is commonly achieved by three steps: a temporal estimation, an inter-view estimation, and finally a fusion.
The image segmentation step involves an estimation of coupling parameters and the maximum á posteriori estimate of the realization of the Markovian field i.e, segmented image.
The first step is an estimation of the possible locations of future eruptive vents followed by an estimation of probable areas of inundation by lava flows issuing from these vents.
A modification has been made to the solver in order to capture the interfacial area between the gas and water phases at each time step, allowing an estimation of the amount of hydrate growth to be made during the transient and steady state phases of the restart operation.
In the Estimation step, an estimator is built to approximate the permitted maximum acceleration by treating the belt as a rigid body.
In a final step an IV estimation is proposed to account for the endogeneity problem.
This step will provide an estimation of likely generalisability of the cost-consequence estimate outside the trial.
As both the OU pipelines and the computational sites are largely heterogeneous, the first step is performing an estimation regarding both the OU pipeline loads and the processing power of the sites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com