L’innovazione è protagonista indiscussa di Maker Faire Rome e per questo è il nostro perfetto elemento. Il successo straordinario della nostra partecipazione è il frutto del suo essere un’esperienza ad ampio raggio, fatta di conoscenza e scoperta per il pubblico ma anche per gli espositori, che aiuta a focalizzare al meglio verso il proprio mercato di riferimento.
Exhibitors 2021
- FASHION & WEARABLES
- INTERNET OF THINGS
- PRODUCT DESIGN
- 3D PRINTING
- 3D SCANNING
- ART
- ARTIFICIAL INTELLIGENCE
- BIOLOGY
- EDUCATION
- HACKS
- KIDS & EDUCATION
- OPEN SOURCE
- ROBOTICS
- MUSIC & SOUND
- ARTISANS & NEW CRAFT
- RECYCLING & UPCYCLING
- STEAM PUNK
- GAMES
- SCIENCE
- YOUNG MAKERS (< 18)
- FOOD & AGRICULTURE
- CIRCULAR ECONOMY
- AEROSPACE
- HOME AUTOMATION
- NEW MANUFACTURING
- STARTUP
- WELLNESS & HEALTHCARE
- ENERGY & SUSTAINABILITY
- FABRICATION
- INDUSTRIAL AUTOMATION
- RETROCOMPUTING
- DRONES
- CULTURAL HERITAGE
- VIRTUAL REALITY
SVIMAC19-Visual Monitoring and Forecasting Covid19
SVIMAC-19 is an analytical-forecasting system based on machine learning algorithms, statistical techniques and soft computing methodologies equipped with a visual interface (visual front-end self-service Business Intelligence) aimed at generating forecasts useful for containment, contrast and monitoring of Covid-19 within the Campania Region.
Main objectives: forecasts relating to the spread of the infection, support for the determination of the potential areas of spread, reduction of analysis times of the phenomenon thanks to a visual approach
Prof. Salvatore Rampone and Gruppo di Metodi COmputazionali e Modellistica - GiMCOM Soft Computing Lab
The Soft Computing and Modelling Method Group (GiMCOM) of Universit del Sannio, headed by prof. Salvatore Rampone, has been operating for many years in the soft computing area applied in several fields (Aerospace, Bioinformatics, Botany, Computer music, Cosmology, Environment, Geoinformatics, Signal Processing, Telecommunication) with special reference on Predictive analytics. The group is characterized by a strong interdisciplinarity. In fact, due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, soft computing techniques have found wide applications.