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processing and edge–cloud communication methodologies, enabling complex data on deformation, loads, and structural condition to be transformed into reliable and actionable operational information.; In
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insurance, supported by INESC TEC. 2. OBJECTIVES: • Research novel deep learning models for anatomically structured EGGIM estimation.; • Develop methods for image-level and examination-level reliability
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exploiting operational data, structural condition data, and advanced sensing data to improve reliability, availability, and economic efficiency throughout the life cycle of the blades.; The work integrates the
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