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requirements of ships.; ▪ Model and validate the proposed solutions in a laboratory environment.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: State-of-the-art analysis of AC/DC hybrid microgrid
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: ▪ Identify and model representative shipboard microgrid architectures, including AC, DC, and hybrid AC/DC configurations.; ▪ Design and implement AI-driven Energy Management Systems (EMS) to optimize fuel
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, the fellow must:; 1. Define a conceptual model of HCAI, identifying entities (human, system, decision, feedback) and their relationships; 2. Represent the model using diagrams, a lightweight ontology, or
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addressed involve defining architectures and interfaces that enable interaction between language models and multiple data technologies, ensuring correct coordination, contextualization, and access control
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, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models integration and analysis of data from wearable and clinical monitoring devices and clinical
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that enable interaction between language models and multiple data technologies, ensuring the correct coordination, contextualisation, and control of access to information. Empirical studies will be used
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development