Recently an interdisciplinary group of mathematicians at University of Milan, together with biologists, material scientists and experts of design, coming both from University of Milan
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Category: Milano
Milano. The new DESIRE Center at University of Milan
The new interdipartimental Research Center DESIRE (DEcision ScIence Research cEnter) has been established at Università degli Studi di Milano in 2024, as an evolution of
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TOWARDS AN ENVIRONMENTALLY SUSTAINABLE AGRICULTURE: MATHEMATICS AND DEEP LEARNING IN THE FIELD
Alessandro Benfenati, Paola Causin, Roberto Oberti Università degli Studi di Milano Crop protection from diseases through applications of plant protection products is crucial to secure
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Industrial PhD for Intersectoral Innovation at University of Milan
University of Milan has recently activated a new industrial PhD programme, named Intersectoral Innovation, in the framework of the national recovery plan. The PhD programme
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GENEO and Explainable Machine Learning applied to protein pocket detection
This post deals with some new geometrical techniques for explainable machine learning, called GENEOs [1], that we are applying in a research group working at
Read moreCOVER – COVid-19 Empirical Research
Friday, October 30, 2020 at 10:00 hrs (CET). We are happy to announce the video conference COVER – COVid-19 Empirical Research organized by the Center of Excellence in
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ECMI Webinar “Math for Industry 4.0 – Models, Methods and Big Data”, December 2 – 3, 2020
In a joint activity of the Special Interest Groups Mathematics for Big Data and Math for the Digital Factory of the European Consortium for Mathematics
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PRecision crop protECtion: deep learnIng and data fuSION
Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at
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Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model
The outbreak of the Covid-19 epidemics in early 2020 has caused an unprecedented effort of the scientific community to produce models that could monitor and
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The Experts Method for the prediction of big data streams of energy flow
We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially
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