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approach, we aim to detect signs of equine pneumonia and pleurisy by identifying specific breat patterns and abdominal movements. We will enhance our asthma detection model to distinguish it from pneumonia
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to focus more on patient care rather than administrative tasks. We aim to enhance veterinary report writing by leveraging Large Language Models (LLMs). We will use initial medical notes (audio or text) and
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with information to be extracted, the system should generate an XQuery program to perform the extraction. We will leverage Large Language Models and explore various prompting strategies to determine the
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Investigate the emergence of collective intelligence in hybrid societies of agents and humans through the presence of attention and awareness mechanisms in agents. The research involves the creation of a model
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conformance checking. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179