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, including construction, overlay, and establishment of similarity criteria, to optimize data structuring. • Integration of elements and techniques of artificial intelligence, including Machine Learning and
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. For this we will start from the scheduling problems with job acceptance/rejection and explore the mathematical structures and develop optimization algorithms allowing us to extend the results to more general
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increasingly abundant and diverse data (Big Data) from sensor networks in indicator construction. The indicator should be simple yet dimensionally reduced, aiming to estimate the remaining system lifespan
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solution would be combining the family of multivariate Lévy processes with a dependencies structure defined by subordination, multivariate reduction or by Lévy copulas. In any all, it is essential to take
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integrated into efficient optimization approaches. The structure required to develop this project in line with the identified scientific objectives is as follows: 1. Analysis of existing literature
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In the field of numerical simulation, it is important to follow from the start a good methodology for the construction of what is called the numerical scheme, corresponding to the discretization