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of the B2C payments market and trends in Italy, with a focus on the most innovative methods; - analyze Italian consumers’ attitudes towards and use of digital payments; - produce a periodic news review
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components. On this basis, unsupervised learning methods will be applied to classify neighborhoods into urban types that describe the interactions between density, greenery, and habitat quality. Where to apply
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learning methods and statistical analysis, to effectively exploit data collected from sensors and acquisition systems. Particular attention is devoted to algorithm robustness, uncertainty management, and
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, including data-driven and hybrid physics-informed methods, aimed at monitoring, prognosis, and decision support for aerospace, automotive, and energy applications. Where to apply Website https