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The Dynamics of Biomolecular Networks (DYNABIO ) cluster of excellence at the Université Côte d’Azur (Nice, France) brings together 85 research teams from six local biology institutes: C3M (Centre
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for separate neural networks, reducing computational complexity and improving the overall efficiency of autonomous navigation.
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the approximation over time, (2) Energy-based optimization that balances accuracy and mesh complexity, or (3) Graph-based techniques that seek near-optimal connectivity structures for mesh representation. • Recent
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
to the high costs associated with dependency and disability. Surgical management of these fractures is complex, often due to their comminuted nature, intra-articular involvement, and proximity to critical
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The Dynamics of Biomolecular Networks (DYNABIO ) cluster of excellence at the Université Côte d’Azur (Nice, France) brings together 85 research teams from six local biology institutes: C3M (Centre
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. CPD has a wide range of applications across domains that require online insights and adaptive decision-making, such as medical monitoring, real-time trading, and network security. A growing number of
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interactions:(1) We propose to study the realization of more complex tasks than textual answers generation to include the generation of graphical widgets and data visualization means when appropriate
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such as principal component analysis (PCA) [2] as well as new types of attacks like link stealing attacks [3] whereby the protected information is not just a dataset but has more complex structure (such as
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a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, becoming a key component for managing smart cities. Except for a few applications, DAS data are typically
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detection, to cite a few. As telecom fibers are ubiquitous in urban environments, DAS appears as a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, and a key component