Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Giuseppina Anna Giorgio"'
Publikováno v:
Sensors, Vol 19, Iss 6, p 1347 (2019)
A built environment, that also includes infrastructures, needs to be taken under control to prevent unexpected modifications, otherwise it could react as a loose cannon. Sensing techniques and technologies can come to the rescue of built environments
Externí odkaz:
https://doaj.org/article/58c8b27c96364d6eb5cb2cccc1f9c97a
Autor:
Patrick Kapita Mvemba, Simon Kidiamboko, Vito Telesca, Maria Ragosta, Giuseppina Anna Giorgio, Aime Lay-Ekuakille
Publikováno v:
IEEE Sensors Journal. 17:7812-7819
Environmental monitoring networks are essential for understanding environmental dynamics of a given region if dedicated sensors and sensing systems are used. They are sensitive to external and internal fluctuations that can produce loss of capabiliti
Autor:
Vito Telesca, Vito Imbrenda, Maria Ragosta, Mariagrazia D’Emilio, Rosa Coluzzi, Giuseppina Anna Giorgio, Maria Lanfredi, Tiziana Simoniello, Maria Macchiato
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 10, Iss 1, Pp 168-180 (2019)
Geomatics, natural hazards & risk
info:cnr-pdr/source/autori:Coluzzi, Rosa; D'Emilio, Mariagrazia; Imbrenda, Vito; Giorgio, Giuseppina A.; Lanfredi, Maria; Macchiato, Maria; Ragosta, Maria; Simoniello, Tiziana; Telesca, Vito/titolo:Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems/doi:10.1080%2F19475705.2018.1513872/rivista:Geomatics, natural hazards & risk (Print)/anno:2019/pagina_da:168/pagina_a:180/intervallo_pagine:168–180/volume:10
Geomatics, natural hazards & risk
info:cnr-pdr/source/autori:Coluzzi, Rosa; D'Emilio, Mariagrazia; Imbrenda, Vito; Giorgio, Giuseppina A.; Lanfredi, Maria; Macchiato, Maria; Ragosta, Maria; Simoniello, Tiziana; Telesca, Vito/titolo:Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems/doi:10.1080%2F19475705.2018.1513872/rivista:Geomatics, natural hazards & risk (Print)/anno:2019/pagina_da:168/pagina_a:180/intervallo_pagine:168–180/volume:10
The Basilicata region summarizes many basic features of the biogeographic complexity characterizing Mediterranean countries. The intricate geomorphology and the long history of human management generated the current landscapes, which include both hig
Publikováno v:
Sustainability, Vol 10, Iss 4, p 1082 (2018)
Sustainability; Volume 10; Issue 4; Pages: 1082
Sustainability; Volume 10; Issue 4; Pages: 1082
Life satisfaction has been widely used in recent studies to evaluate the effect of environmental factors on individuals’ well-being. In the last few years, many studies have shown that the potential impact of climate change on cities depends on a v
Publikováno v:
Measurement. 112:61-66
In this study an innovative statistical procedure based on multivariate techniques is applied. It is able to identify and to interpret the correlation structure among different meteo-climatic descriptors measured in different sampling sites. The test
Autor:
Nicola Lamaddalena, Giuseppina Anna Giorgio, Abderraouf Elferchichi, Maria Ragosta, Vito Telesca
Publikováno v:
Sustainability, Vol 9, Iss 12, p 2337 (2017)
Sustainability; Volume 9; Issue 12; Pages: 2337
Sustainability; Volume 9; Issue 12; Pages: 2337
The present study provides an assessment of the climate variability at a subnational scale, focusing on the case of the Apulia region, in Southeastern Italy. The variables considered for the purpose of a trend analysis were the minimum, maximum, and
Publikováno v:
Environmental monitoring and assessment
187 (2015): art.n.307. doi:10.1007/s10661-015-4556-9
info:cnr-pdr/source/autori:Ragosta M.; D'Emilio M.; Giorgio G.A./titolo:Input strategy analysis for an air quality data modelling procedure at a local scale based on neural network/doi:10.1007%2Fs10661-015-4556-9/rivista:Environmental monitoring and assessment (Print)/anno:2015/pagina_da:art.n.307/pagina_a:/intervallo_pagine:art.n.307/volume:187
187 (2015): art.n.307. doi:10.1007/s10661-015-4556-9
info:cnr-pdr/source/autori:Ragosta M.; D'Emilio M.; Giorgio G.A./titolo:Input strategy analysis for an air quality data modelling procedure at a local scale based on neural network/doi:10.1007%2Fs10661-015-4556-9/rivista:Environmental monitoring and assessment (Print)/anno:2015/pagina_da:art.n.307/pagina_a:/intervallo_pagine:art.n.307/volume:187
In recent years, a significant part of the studies on air pollutants has been devoted to improve statistical techniques for forecasting the values of their concentrations in the atmosphere. Reliable predictions of pollutant trends are essential not o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0518446e2374cd8514a50c277e09b474
http://www.cnr.it/prodotto/i/332436
http://www.cnr.it/prodotto/i/332436