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training on HMI and methods for classification and comparison of different techniques. Title: Processing and fusion of data coming from a variety of techniques (XRF, HSI, HMI, FUV) for improved material
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' motivation and engagement. The proposed thesis concerns the second axis of the project, focusing on supporting patients' motivation and engagement across different spaces and times of their therapeutic
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sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect
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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs