This report refers to a project which has been assigned to a group of students in the MSc in Mathematics at Università degli Studi di
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Author: Alessandra Micheletti
A Markov Chain approach to evaluate the impact of CAP Greening on land use in Lombardy region
A recent reform has redesigned Common Agricultural Policy (CAP) contents over the programming period 2015-2020, introducing important changes in the funding strategies, called “Greening”, which
Read moreWorkshop Mathematics for Big Data: presentations are online
The kickoff workshop of the ECMI SIG “Mathematics for Big Data” took place at University of Novi Sad on May 31 – June 1, 2017.
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Clustering of multivariate Big Data
Clustering is the division of a collection of data into groups, or clusters, such that points in the same cluster have a small distance from
Read moreWorkshop Mathematics for Big Data
Dates: May 31- June 1, 2017 Place: University of Novi Sad, Serbia The availability of huge amounts of data is often considered as the fourth
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Inferential and Clustering Methods for Functional Data
Author: Andrea Ghiglietti Position: Postdoctoral Researcher Affiliation: Department of Mathematics, Università degli Studi di Milano. E-mail address: andrea.ghiglietti@unimi.it In the last two decades, there has
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Mathematical and numerical modeling of the cardiac electro-mechanical coupling
Aim. Our goal is to develop effective computational tools to push forward the understanding of the fundamental mechanisms underlying the origin of life-threatening arrhythmias and
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Mathematical models of microcirculation: fluid-dynamics and nutrient delivery
Paola Causin, Department of Mathematics, Universita’ degli Studi di Milano Transport and exchange of nutrients from peripheral blood circulation provide fundamental support to body organs
Read moreECMI SIG Shape and size in Medicine, Biotechnology and Materials Science
Shape analysis deals with the geometrical information on objects that is left after location, scale and rotation effects are removed. If scale effects are not
Read moreNumerical methods for DEP modelling for lab-on-chips devices
The physical manipulation of biological cells is of vital importance in the development of laboratory operations on a small scale using miniaturized (lab-on-a-chip) devices. Microsystems
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