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to streamline the complex reactivity of these materials towards water, and to ultimately understand their detection mechanism. The objectives of this research project are: - to enrich this class of materials by
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, the project seeks to address existing challenges in centralized systems, such as high computational demands and communication complexity. The outcome will contribute to more scalable, reliable, and cost
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introducing structured redundancies into data, which are then used during decoding for error-correction. Modern coding techniques, such as Turbo, LDPC, and Polar codes are essential components to current
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of this work aims to propose new strategies for the resolution of complex models based on energy hub schemes. 1.2. Scientific/technical challenges Although most current hub modeling proposals are based on linear
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environmental returns. A key aspect of this problem is the nature of information and data sharing in complex and heterogenous environments. The work of innovation is best supported by open relationships
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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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LLMs on IoT protocol specifications and YANG schema structures to enable accurate and efficient schema translation and enrichment. Framework Design: Develop an enhanced SID registry capable of real-time
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], or Audio Codecs [8]. We plan to employ e.g., Parameter Efficient Fine-Tuning methods [9] to reduce model complexity of pretrained models, and design new architectures that are optimized for inference speed