Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Laura, Po"'
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102781- (2024)
Driven by the urgent necessity for accurate environmental data in urban settings, this research leverages the Adaptive Neuro-Fuzzy Inference System (ANFIS) as a machine learning-based approach to refine SPS30 low-cost sensor data influenced by hygros
Externí odkaz:
https://doaj.org/article/a1e3c1bc76b144919ca65d90e2229881
Publikováno v:
IEEE Access, Vol 12, Pp 25536-25552 (2024)
Text categorization remains a formidable challenge in information retrieval, requiring effective strategies, especially when applied to low-resource languages such as Italian. This paper delves into the intricacies of categorizing Italian news articl
Externí odkaz:
https://doaj.org/article/444c18f8a6b84b56ab6e1190c08c8628
Publikováno v:
Sensors, Vol 23, Iss 23, p 9446 (2023)
In recent times, pollution has emerged as a significant global concern, with European regulations stipulating limits on PM 2.5 particle levels. Addressing this challenge necessitates innovative approaches. Smart low-cost sensors suffer from imprecisi
Externí odkaz:
https://doaj.org/article/a1e6bb27566b44a8bd3d5393764c1d84
Publikováno v:
Sensors, Vol 23, Iss 2, p 640 (2023)
Clean air in cities improves our health and overall quality of life and helps fight climate change and preserve our environment. High-resolution measures of pollutants’ concentrations can support the identification of urban areas with poor air qual
Externí odkaz:
https://doaj.org/article/a1644a5be6e7416db8f17771fd7c5055
Publikováno v:
Sensors; Volume 23; Issue 2; Pages: 640
Clean air in cities improves our health and overall quality of life and helps fight climate change and preserve our environment. High-resolution measures of pollutants’ concentrations can support the identification of urban areas with poor air qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3b6eee742249e1185525f478d7e2ba5
https://hdl.handle.net/11380/1295948
https://hdl.handle.net/11380/1295948
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6355 (2020)
Since its first inception in 2001, the application of the Semantic Web [...]
Externí odkaz:
https://doaj.org/article/ea44deef88124d0b98cff5bbadcf7460
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5882 (2020)
Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and se
Externí odkaz:
https://doaj.org/article/c653bb6ffce94e0ebf14bb3e2776e7e1
Publikováno v:
Cluster Computing. 25:2793-2817
Sensor network infrastructures are widely used in smart cities to monitor and analyze urban traffic flow. Starting from punctual information coming from traffic sensor data, traffic simulation tools are used to create the digital twin” mobility dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d220e45d4ed61b6d89c1b8099ed636
https://doi.org/10.1007/s10586-021-03445-7
https://doi.org/10.1007/s10586-021-03445-7
Autor:
Federico Desimoni, Laura Po
Publikováno v:
Future Generation Computer Systems. 112:258-282
The economic impact of open data in Europe has an estimated value of € 140 billions a year between direct and indirect effects. The social impact is also known to be high, as the use of more transparent open data have been enhancing public services
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58153fde62258406c412e63c24db90de
https://doi.org/10.1016/j.future.2020.05.038
https://doi.org/10.1016/j.future.2020.05.038