Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Emanuele Panizzi"'
Publikováno v:
Smart Cities, Vol 5, Iss 4, Pp 1243-1266 (2022)
Cruising-for-parking in an urban area is a time-consuming and frustrating activity. We present four machine learning-based models to predict the parking availability of street segments in an urban area on a three-level scale, which navigator and smar
Externí odkaz:
https://doaj.org/article/ab9b871c46c2465098531940d52a9633
Autor:
Enrico Bassetti, Emanuele Panizzi
Publikováno v:
Information, Vol 13, Iss 4, p 195 (2022)
State-of-the-art Earthquake Early Warning systems rely on a network of sensors connected to a fusion center in a client–server paradigm. The fusion center runs different algorithms on the whole data set to detect earthquakes. Instead, we propose mo
Externí odkaz:
https://doaj.org/article/b6ba239656914be8bae79130acc29e5f
Publikováno v:
Sensors, Vol 22, Iss 4, p 1606 (2022)
Smartphone sensors can collect data in many different contexts. They make it feasible to obtain large amounts of data at little or no cost because most people own mobile phones. In this work, we focus on collecting motion data in the car using a smar
Externí odkaz:
https://doaj.org/article/8911cc3ac8ab4020b54e4717139332fd
Autor:
Emanuele Panizzi, Alba Bisante
Publikováno v:
Procedia Computer Science. 198:231-236
Publikováno v:
Procedia Computer Science. 198:237-242
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
2022 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS).
Publikováno v:
Proceedings of the 2022 International Conference on Advanced Visual Interfaces.
Autor:
Enrico Bassetti, Emanuele PANIZZI
Publikováno v:
Information; Volume 13; Issue 4; Pages: 195
State-of-the-art Earthquake Early Warning systems rely on a network of sensors connected to a fusion center in a client–server paradigm. The fusion center runs different algorithms on the whole data set to detect earthquakes. Instead, we propose mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f47c5a76538f56ac1efacb41c87d15d2
Publikováno v:
Social Science Computer Review. :089443932110737
Bot Detection is crucial in a world where Online Social Networks (OSNs) play a pivotal role in our lives as public communication channels. This task becomes highly relevant in crises like the Covid-19 pandemic when there is a growing risk of prolifer