A Testbed Platform to Support an IoT City Lab

Autor: Carlo Impagliazzo, Muriel Cabianca, Maria Laura Clemente, Giuliana Siddi Moreau, Matteo Vocale, Lidia Leoni

Publikováno v: IoT, Vol 5, Iss 1, Pp 35-57 (2024)

This paper describes the development activity that has been carried out for a living laboratory for the city of Cagliari aimed at functioning as a learning center for local SMEs willing to improve their skills in IoT and create applications that will

Externí odkaz: https://doaj.org/article/fb3b3abe4f2a492d92e2db3884e7a609

Building a real-world traffic micro-simulation scenario from scratch with SUMO

Autor: Maria Laura Clemente

Publikováno v: SUMO Conference Proceedings, Vol 3 (2022)

Simulation of Urban Mobility (SUMO) is a powerful traffic simulation program which can work at different scales, from sub-microscopic to macroscopic. Depending on the available input dataset, it is possible to build lots of different configurations,

Externí odkaz: https://doaj.org/article/8915c06408184b44b1d92c49d41b277e

The non-fiscal attribute of the import duty in favor of the acquisition of artwork

Autor: Maria Laura Clemente Morais, Elizabete Rosa de Mello

Publikováno v: Revista da Faculdade de Direito UFPR; v. 63, n. 3 (2018); 213-231
Revista da Faculdade de Direito UFPR
Universidade Federal do Paraná (UFPR)
instacron:UFPR

This paper aims to expose the reasons why private acquisition of artworks should be considered duty-free in relation to the import duty, which is a non-fiscal tax. In fact, its main goal is to promote the balance between inner and external markets. G

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddec8b186d4fa66e7feccb30d5e7f615
https://revistas.ufpr.br/direito/article/view/61198

Evaluating Potential Improvements of Collaborative Filtering with Opinion Mining

Autor: Franco Tuveri, Manuela Angioni, Maria Laura Clemente

Publikováno v: ICEIS (2)

An integration of an Opinion Mining approach with a Collaborative Filtering algorithm has been applied to the Yelp dataset to improve the predictions through the information provided by the user-generated textual reviews. The research, still in progr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::027d7cfed623f597c5a0f6ff09bf1924
https://doi.org/10.5220/0005456006560661

NotreDAM, a Multi-user, Web Based Digital Asset Management Platform

Autor: Orlando Murru, Daniela Ghironi, Mauro Del Rio, Fabrizio Solinas, Maria Laura Clemente, Maurizio Agelli

Publikováno v: Research and Advanced Technology for Digital Libraries ISBN: 9783642244681
TPDL

In this work we present an overview of NotreDAM, an open source Digital Asset Management platform targeted to the mid-market segment. NotreDAM provides a web-based multi-user application environment for uploading, annotating, cataloguing, sharing, se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d47e5fc20a33f9324b1416b46a5cfdcf
https://doi.org/10.1007/978-3-642-24469-8_48