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on individualised data; (2) to speed up FE model computation through machine learning prediction, in order to make it usable in clinical routine; (3) to conduct experimental validation of FE prediction results, in
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Technologies du Langage) department. This team specializes in machine learning methods applied to language processing and has extensive experience and international recognition in speech technologies. Where
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, IBDM employs around 220 permanent researchers, lecturers, engineers and technicians, as well as non-permanent staff on fixed-term contracts, post-docs, PhD students and trainees, spread across 21
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informing users and the network of new settings. The goal is to define an adaptive multicast framework leveraging error correction and machine learning to optimize parameters in real time [8]. 1.2. Scientific
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[MSP+21, KKK16]) but is lacking for distributed systems. Currently, software systems for distributed systems are typically structured in terms of separate programs that are deployed on different machines
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, machine learning, remote sensing, and oceanography to tackle the challenges of capturing and interpreting complex geophysical processes. 1.5. References [1] Torres, R., Snoeij, P., Geudtner, D., Bibby, D
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highly interdisciplinary, integrating network engineering, IoT device management, machine learning, and cybersecurity. It blends protocol optimization (Coreconf/YANG) with LLM-driven automation, enhancing
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interdisciplinarity, blending machine learning, computational creativity, and musicology. It bridges AI methods—like generative models—with musical structure, theory, and cultural contexts, emphasizing data-efficient
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combined with Machine Learning algorithms, this thesis aims to study long-term temporal trends in tropospheric ozone (O3) in Europe across different type of environments (background, rural, urban), while