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OF THE WORK PROGRAMME AND TRAINING: - In-depth study of public human movement datasets; - Define protocols for data collection using motion capture systems and curation of the resulting data; - Design
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through the application of the selected methods; - apply a critical spirit in the evaluation of the research process and the results obtained.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING
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learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge
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OF THE WORK PROGRAMME AND TRAINING: - In-depth study of public human movement datasets - Characterisation of personas - Establish the co-design protocol and monitor the development of interfaces - Define
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validate the tools identified and/or developed, using as a reference case the remote training of grid operators in operational scenarios for power networks with a high penetration of renewable energy—one
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losses (insertion and propagation) and to optimize the entire fabrication process. The work includes writing in silica substrates or multicomponent glasses. Additionally, the fabrication of waveguides in
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inclusion of disturbances in electrical grid data obtained from real and simulated scenarios, in order to assess the response of the AI agent to specific events. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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computational simulation.; • Experimentally validate the tools identified and/or developed, using as a reference case the training of grid operators that includes the possibility of remotely controlling a real
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insurance, supported by INESC TEC. 2. OBJECTIVES: Over the years, large-scale infrastructures have been developed to support high computing performance without worrying about energy consumption. With
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inclusion of disturbances in electrical grid data obtained from real and simulated scenarios, in order to assess the response of the AI agent to specific events. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME