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of these solutions is complex due to the influence of various factors on perceived temperature, which fluctuate over time and across different locations. While surface or air temperature is usually the criterion
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explore promising alternatives such as physics-informed neural networks (Raissi et al., 2019), which seem particularly powerful to analyse Burgers-like equations, which are at the basis of the theoretical
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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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et la productivité dépendent de dynamiques complexes de compétition interne pour les ressources. Cependant, leur adoption reste limitée par la difficulté à paramétrer ces modèles à partir de données
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of launches of small satellites. However, these missions are increasingly complex, requiring a propulsion system in the satellite to control its trajectory in a durable, accurate and reliable manner. Electric
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experimental approaches to characterize the Dorsal Diencephalic Conduction system (DDC), a neuronal network mediating the development of aversive internal emotional states in response to negatively-valued
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imaging. It will: • establish a robust methodology for fine-grained comparison of complex embryonic morphologies, • design neural networks adapted to the specific challenges of 3D+time microscopy, • provide
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· Contribute to a life cycle analysis Your activities The engineer's main activities will be carried out in close collaboration with the project partners: · Energy measurement experiments in a private 5G network
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for separate neural networks, reducing computational complexity and improving the overall efficiency of autonomous navigation.
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on efficiency in surface, power consumption, and computing performance. Vision Transformers (ViTs) have recently demonstrated superior performance over Convolutional Neural Networks (CNNs) in a wide