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, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer decision-making
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their environment, and how these representations support robust perception and autonomous decision-making in dynamic, non-stationary settings. The research will address how agents fuse heterogeneous sensory streams
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data. The aim is to enable meaningful analyses, such as identifying disease hotspots or detecting cancer-affected areas and support decision-making, while ensuring that no individual can be identified
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