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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 1 day ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable
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modern control theory (PID, adaptive, robust, and fractional control); Experience with fuzzy logic and AI-based control (reinforcement learning, neuro-fuzzy systems); Skills in modelling and simulation
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. Further information: https://www.birmingham.ac.uk/postgraduate/pgt/requirements-pgt/international/index.aspx . References: Carbonneau et al (2020) ‘UAV-based training for fully fuzzy classification
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to fuzzy-based algorithms. You will base your work on two different flood classification approaches, namely a hydrology-based one and a hydrograph-based one and compare these regarding their ability
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speed, classifying riding styles (e.g. conservative or more aggressive). Next, using inputs such as terrain type and slope, a decision algorithm based on Fuzzy Logic, decision trees or a lightweight
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qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable research techniques. ● Some background in environmental or ecological sciences. ● Demonstrated
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or international conferences, computing equipment, and fees associated with manuscript publications, if applicable. A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/wp