Student: Tommaso Aldinucci In recent years the world of machine learning has been revolutionized by the “explosion” of models based on deep neural networks. Such models have proved to be really performing and able to face even very complex tasks.
This thesis was partially developed at Verizon Connect Research Italy, in Florence. Student: Simone Magistri. Vehicle pose estimation from vehicle cameras is a crucial component of road scene understanding. In this thesis we propose a deep light-weight method to predict
GOL will participate to the virtual open day of the Engineering School of Università degli Studi di Firenze Connect February 18th, 2021, at 17:00 CET at https://meet.google.com/jaq-hkkd-ugs Info: Virtual meeting: an introduction to the research activities at the Global Optimization
I have just uploaded a new video as an introduction to operations research for high school students (in italian).
Mirco Soderi, a PhD student in Information Engineering, developed Crowded Zone. Crowded Zone is a Web application that can be reached at http://crowded.zone. It allows one to know how many people are located in a given place at real-time, and how
Ruggiero Seccia from Sapienza, Università di Roma, contributed a nice simplified model for nurse scheduling. He provided a short report “Scheduling_nurses_shifts” and a github repo for his model.
Other fields in which Operations Research might help: How to cope with reduced offer for critical services? public transportation. Although social distancing needs to be further promoted, demand for transportation needs to be satisfied. Although, the offered service needs to
We have just started our collaboration to the fold@home project by making our GPU’s available to the scientific community. If you have GPU’s consider joining the global effort
(adapted from a mail from Laura Palagi at Sapienza) we have several tools to plan personnel shifts in order to minimize extra working times, whenever possible. Inputs: personnel requirements, on a time-of-day basis, avaiable personnel, rules (min number of hours
A classical case in optimization: the transportation model. Assume we have 4 hospitals: A, B, C, D with excess patients, say 20, 10, 10, 8 [all these numbers are purely illustrative] Assume there are 6 hospitals with beds available for