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degree or be enrolled in course that do not confer an academic degree, within the Research Project titled WATERMARK (Watermark-Based Algorithms for Trustworthy Media Authentication and Robust Certification
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degree or be enrolled in course that do not confer an academic degree , within the Research Project titled WATERMARK (Watermark-Based Algorithms for Trustworthy Media Authentication and Robust
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degree or be enrolled in course that do not confer an academic degree , within the Research Project titled WATERMARK (Watermark-Based Algorithms for Trustworthy Media Authentication and Robust
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systems. The project will conduct pilot activities in various Sudoe areas with different climates, orographies, and vegetation to achieve prevention and/or early detection objectives. It will also develop
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Large Language Model (LLM) and associated tools for the project. Activities: - Research and comparison of different LLM models available. - Evaluation of the tools and frameworks that support the
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of an algorithm for processing production data and calculating station times. Work collaboratively and dynamically to achieve the intermediate objectives that are proposed, in particular: - Development
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, above all, knowledge extraction. Supporting the development of a downtime detection tool, namely the development of an algorithm for processing production data and calculating station times. Work
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, above all, knowledge extraction. Supporting the development of a downtime detection tool, namely the development of an algorithm for processing production data and calculating station times. Working
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coordination models, demand response, and the influence of dynamic pricing. 2. Identification of key challenges in integrating EVs into buildings and their impact on energy systems. 3. Definition of different
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, above all, knowledge extraction. Supporting the development of a downtime detection tool, namely the development of an algorithm for processing production data and calculating station times. Working