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Mechanisms for Vehicular Networks Summary of the Scholarship Objectives: The scholarship aims to design, implement, and evaluate optimization solutions for vehicular networks based on Reinforcement Learning
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; develop and validate an astrodynamics-based orbit determination algorithm using TFC, including hybrid solutions with stochastic filters (eg, EKF or UKF); integrate and calibrate optical sensors and develop
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developed (20%) VII.II- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with scores rounded to the nearest hundredth, applying the following formulas: - AR
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is open, in the last five years or the extended period requested, if accepted by the committee, with a weight of 80%, based on the following parameters: IV.2.1.1. Scientific, technological, cultural