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. This recommendation system should be designed based on current machine learning and artificial intelligence strategies, allowing it to adapt to each user's profile and the different types of data collected by
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artificial intelligence-based algorithms to optimise operation and predict anomalies in water distribution networks. The algorithms developed should identify patterns and anomalies that indicate the presence
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Artificial Intelligence models for the accurate simulation of motor racing and for the generation of suggestions for effective racing strategies. The research fellow will explore different modelling approaches
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of LIS ́s researchers, in the framework of Project Ethiack Portal – Platform for Ethical Hacking Automation supported by Artificial Intelligence (CENTRO2030-FEDER-00565200), co-financed by Portugal 2030
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of annotated video expected. This dataset will form a significant basis for the development of artificial intelligence techniques for identifying eight clinical activities based on the recognition of objects