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solution will utilize information collected through specific sensors installed in the infrastructure, which will be processed by advanced Artificial Intelligence algorithms. The works listed for this grant
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which the following factors will be considered: a) Experience and general skills in the areas of real-time wireless networks, sensor and actuator networks and embedded systems (up to 7 points; other
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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formalities established there must be fulfilled until the time of signing the contract. Activity Outline: Study of generalized models of viscoelasticity. Study of the different fractional operators (advantages
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. Technical specifications – definition of the desired valences for G2E plasters. Identify the needs of the different users of new products and define the benefits they intend to acquire. Definition
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with E5 gasoline blended with different percentages of methanol. Analysis and representation of the data obtained from the simulations: power, torque, combustion and thermal efficiency, as
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intelligence techniques, LCC and RAMS analysis. The student will also contribute to the digital integration of the different tools developed in the project, ensuring their validation, testing and demonstration