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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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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
…), and (2) optimization, where the forecasts are used as input to optimization tools for congestion management, economic dispatch, unit commitment, electricity trading, reserves estimation and other
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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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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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energy-consuming computations using placement of computations, optimization of communication, rate limiting, scaling etc. Distributed computations are represented and energy contexts maintained in
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language models and computational tools. This approach will centralize the end-to-end processing, transforming raw experimental data into an enriched graph exploitable via natural language. Evaluation will
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of deep-body implantable devices ,” IEEE Trans. Microw. Theory Techn.71, 2023. X. Tian et al., “Implant-to-implant wireless networking with metamaterial textiles ,” Nat. Commun.14, 2023. Research Focus
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of interactions (hydrogen bonding, electrostatic bonding) between the host network and the molecules of interest is crucial for targeted applications and can particularly govern their release rate. This PhD project
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theoretical predictions on the role of regulatory evolution for several important fundamental topics in evolutionary biology (sex chromosomes, maintenance of sex, complexity of gene networks, etc
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
processing tasks, including machine learning and deep learning [4]–[6], database processing [7], [8], and networking [9]. Near-memory computing (NMC) is a memory-centric computing paradigm that has emerged as