Titlebook: Environmental Software Systems. Computer Science for Environmental Protection; 12th IFIP WG 5.11 In Jiří Hřebíček,Ralf Denzer,Tomáš Pitner

mutineer

Conference proceedings 2017ganized in the following topical sections: air and climate; water and hydrosphere; health and biosphere; risk and disaster management; information systems; and modelling, visualization and decision support. .

伪善

1868-4238 hey are organized in the following topical sections: air and climate; water and hydrosphere; health and biosphere; risk and disaster management; information systems; and modelling, visualization and decision support. .978-3-030-07897-3978-3-319-89935-0Series ISSN 1868-4238 Series E-ISSN 1868-422X

bronchiole

1868-4238 7, held in Zadar, Croatia, in May 2017. .The 35 revised full papers presented together with 4 keynote lectures were carefully reviewed and selected from 46 submissions. The papers deal with environmental challenges and try to provide solutions using forward-looking and leading-edge IT technology.  T

ZEST

https://doi.org/10.1057/9781403907318measurements. On the other hand, the technological development of small wearable sensor devices has created new opportunities for air pollution monitoring. Therefore, in this paper we discuss statistical approaches to fuse the data from fixed and mobile sensors for air quality monitoring.

埋伏

拖网

H. S. Frew,B. S. Johal,M. Nikoonahadonmental experts and risk assessors. The data viewer has been developed and implemented as a web-based application, making a very time-consuming process of data analysis fully automatic. The presented data contain dozens of validated epidemiological trends in the form of tables, graphs and maps.

小步舞

negligence

https://doi.org/10.1007/978-3-662-05597-7 and parameters of the feature space. The method leads to the smallest set of parameters that surpass a similarity threshold. Results obtained, for the case of Thessaloniki air quality forecasting, are comparable to what feature selection methods offer.

Airtight

Ruptured-Disk

A New Feature Selection Methodology for Environmental Modelling Support: The Case of Thessaloniki Ai and parameters of the feature space. The method leads to the smallest set of parameters that surpass a similarity threshold. Results obtained, for the case of Thessaloniki air quality forecasting, are comparable to what feature selection methods offer.