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detection of objects and events from aerial images collected by drones. To this end, the work plan consists of: I. Studying and implementing methods for detecting and classifying objects from aerial images
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systems. - Prototyping of a universal adversarial attack. - Execution of tests and validation of the prototype. - Writing of a scientific paper; - Writing of technical and scientific documentation. V
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, QIGA, QIEA) and identify limitations. 2-Design and prototype new quantum-inspired representations and variation operators (e.g., rotation-based mutation, entanglement-based recombination, collapse
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of an artificial intelligence (AI) solution for the diagnosis of invasive fungal infections, using microscopy images obtained in laboratory settings with limited resources. Leveraging deep learning models such as