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algorithms have been used to solve complex problems. However, these types of strategies, although popular, are heterogeneous or generated according to the needs of the case study. This has generated multiple
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Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 3 months ago
conducted under the co-supervision of Dr. Z.A. Dahi (ISFP, Inria Starting Faculty Position) and Prof. Bilel Derbel. Both supervisors belong to the BONUS research group at the Inria research center of the
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
at that level. In this context, it is also important to consider aspects such as the intepretability and explainability of decisions given the context, as well as to ensure that the algorithmic design permits
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for feedback utilization, focusing on adaptive coding rate adjustments based on SINR and uplink metrics, ensuring efficient and responsive system performance. Machine learning algorithms will be designed
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[Crockett2022], minimizing artifacts and improving clinical reliability. Meta-learning algorithms [Andrychowicz2016] will be implemented to optimize reconstruction efficiency for real-time bedside applications
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movements for enhanced training of machine-learning algorithms. 1.4. Interdisciplinarity aspects The theme of research of project FITNESS lies at the intersection of medical science (rehabilitation field) and