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We believe that computer vision can effectively achieve these tasks with accuracy.
In order to achieve these tasks, the search for new combinations was performed and analyzed in the present paper.
Accordingly, a minimal "healthy" remnant liver mass is required to achieve these tasks.
Therefore, understanding how KKT proteins achieve these tasks in kinetoplastids will contribute to a better understanding of how conventional kinetochores function.
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Governance concerns what decisions need to be made by whom to ensure effective management, while aiming to provide a structure for achieving these tasks [4, 5].
Deploying and reconfiguring this kind of applications are very complicated tasks especially when one or multiple virtual machines fail when achieving these tasks.
People who are competent at performing tasks because of their knowledge and skills are generally highly committed to achieving these tasks and are willing to take on responsibilities.
During these investigations, five (5) maintenance tasks of the RVS machines were analysed, which unfolded one hundred and thirty-four (134) motions required by the maintenance manager of these machines to achieve these maintenance tasks and also unveiled fifty-four (54) functions (i.e. design parameters) required in automating these maintenance tasks using the intelligent robotic solution.
The data to achieve these two tasks are almost always insufficient and mostly limited to well scale measurements, seismic maps, and outcrop studies.
These 2 tasks can not be achieved using only dialog-based HMI because these require to move unresistered spot and to instruct phisical amount of operation, proposed method can realized to achieve these difficult tasks.
In this paper, we developed a framework to achieve these three tasks, applying an analytical hierarchy process, a dynamic optimization model, and an attribute based contingent valuation technique, respectively.
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