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communication delivers data to specific group of users simultaneously. Despite its efficiency, multicast faces technical complexities, especially in LTE and 5G networks [5], [6]. Traditionally, multicast bitrate
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communication across diverse IoT devices and networks, while maintaining efficiency in highly constrained environments. 1.2. Scientific/technical challenges This research addresses the challenges of IoT
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of components of the software systems running on distributed systems, e.g., data centers, grid architectures, sensor networks and other distributed cyber-physical infrastructures. Based on measured energy
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/10.1016/j.cviu.2024.104275 [2] Ikram Kourbane, Panagiotis Papadakis, Mihai Andries, Optimized Assessment of Physical Rehabilitation Exercises using Spatiotemporal, Sequential Graph-Convolutional Networks
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infrastructure networks. IEEE Transactions on Control of Network Systems. Fakih, S., Mabrouk, M. T., Batton-Hubert, M., & Lacarrière, B. (2023). Bi-level and multi-objective optimization of renewable energy
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and models open new paradigms for analyzing ocean remote sensing data. However, unlike regular images where correlations are typically local—favoring the use of standard convolutional neural networks
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]. Such models typically consist of Large Language Models with a Transformer architecture, as well as backbones for efficient audio generation that can rely on AutoEncoders [7], Diffusion Models [1
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well as with a dense network of SMEs, start-ups, and innovation networks. With 290 permanent staff, 2,200 students, including 300 doctoral students, IMT Atlantique produces 1,000 publications each year and
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a dense network of SMEs, start-ups, and innovation networks. With 290 permanent staff, 2,200 students, including 300 doctoral students, IMT Atlantique produces 1,000 publications each year and raises