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will focus on the design and implementation of advanced models for data enhancement, denoising, semantic segmentation, content-based retrieval, target detection, multitemporal analysis, and radar mapping
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segmentation, target detection and change detection along and across multiannual series of data. Methodologies like foundational models, machine learning, deep learning, multitask learning, enforcement learning
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, specifically for analyzing failure propagation. MBSA is based on the adoption of a formal, mathematical model of the system and on a tool-supported methodology to assist the generation of safety artifacts. State
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[GEM] Coordinator: prof. Brunella Franco Info: gem[at]ssmeridionale.it Mathematical and physical sciences for advanced materials and technologies [MPHS] Coordinator: prof. Nicola Fusco Info: mphs
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of descriptive and predictive mathematical models. Examples of current and relevant problems in modern society that can be treated using such methodologies are ensuring the efficiency of industrial and
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Science, Telecommunications, Applied Mathematics, or related fields; Solid background in probabilistic modeling, Bayesian inference, information theory, and/or machine learning; Experience with signal processing or decision