An important question that has deserved the attention of the AI field over the last twenty years and which leads to the development of a wide research area called formal argumentation has b...
The course is devoted to illustrate a set of super-resolution signal processing techniques, able to estimate relevant biomedical parameters from a limited set of data acquired with microwave sen...
Extracting usable information from executable files is a crucial task in nowadays computing, since it is the basis for a plethora of analyses performed in various fields of computer science and ...
Biomedical systems based on radar adoption represent an emerging technology in telemedicine and Internet of Things (IoT). They can remotely measure heartbeat and respiration, speed, and position...
A cyber-physical system (CPS) is a system of collaborating computational elements controlling physical entities via one or more communication channels. The advent of CPSs is considered a revolut...
Communications between UAVs enable all sorts of collaborative tasks, including the creation of UAV swarms, whereby UAVs move according to a certain flight formation that is optimally defined for...
Deep Learning (DL) is used in different fields of engineering and is proving exceptionally useful for solving problems of extraordinary complexity that until a few years ago could only be addres...
The course is aimed at reviewing a set of statistical and feature learning methods and tools which can be exploited in data science.We will start by studying probabilistic modeling, the problems...
