Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Kostas, Karatzas"'
Publikováno v:
Atmosphere, Vol 15, Iss 8, p 965 (2024)
Particulate matter is one of the most dangerous air pollutants, especially in urban areas, due to its significant adverse health effects. Traditionally, air quality monitoring relies on fixed reference stations, which often have a low temporal and sp
Externí odkaz:
https://doaj.org/article/cf85c11d542a41a8b85874e558910ffa
Publikováno v:
Atmosphere, Vol 15, Iss 6, p 731 (2024)
By deploying machine learning (ML) and deep learning (DL) algorithms, we address the problem of smell event modelling in the Pittsburgh metropolitan area. We use the Smell Pittsburgh dataset to develop a model that can reflect the relation between ba
Externí odkaz:
https://doaj.org/article/35c4f65fef724433834bcafdaa79f212
Autor:
Hugo S. Russell, Niklas Kappelt, Dafni Fessa, Louise B. Frederickson, Evangelos Bagkis, Pantelis Apostolidis, Kostas Karatzas, Johan A. Schmidt, Ole Hertel, Matthew S. Johnson
Publikováno v:
Environment International, Vol 170, Iss , Pp 107645- (2022)
In this study fine particulate matter (PM2.5) levels throughout the Copenhagen metro system are measured for the first time and found to be ∼10 times the roadside levels in Copenhagen. In this Part 2 article, low-cost sensor (LCS) nodes designed fo
Externí odkaz:
https://doaj.org/article/f59ca20e881e4aae9ab6243d4a147972
Publikováno v:
Atmosphere, Vol 13, Iss 3, p 416 (2022)
Deployment of an air quality low-cost sensor network (AQLCSN), with proper calibration of low-cost sensors (LCS), offers the potential to substantially increase the ability to monitor air pollution. However, to leverage this potential, several drawba
Externí odkaz:
https://doaj.org/article/820af177562640e2802b08c917648a6f
Publikováno v:
Vietnam Journal of Computer Science, Vol 5, Iss 2, Pp 177-184 (2018)
Abstract We address air quality (AQ) forecasting as a regression problem employing computational intelligence (CI) methods for the Gdańsk Metropolitan Area (GMA) in Poland and the Thessaloniki Metropolitan Area (TMA) in Greece. Linear Regression as
Externí odkaz:
https://doaj.org/article/46149dcdd54e45ac853f3728c5ad4e8e
Autor:
Maximilian Bastl, Katharina Bastl, Kostas Karatzas, Marija Aleksic, Reinhard Zetter, Uwe Berger
Publikováno v:
World Allergy Organization Journal, Vol 12, Iss 5, Pp - (2019)
Background: It is recommended to position pollen monitoring stations on rooftop level to assure a large catchment area and to gain data that are representative for a regional scale. Herein, an investigation of the representativeness of pollen concent
Externí odkaz:
https://doaj.org/article/7b86669c55674e26a83bbc0f93a902f6
Autor:
Milagros Ródenas García, Andrea Spinazzé, Pedro T.B.S. Branco, Francesca Borghi, Guillermo Villena, Andrea Cattaneo, Alessia Di Gilio, Victor G. Mihucz, Elena Gómez Álvarez, Sérgio Ivan Lopes, Benjamin Bergmans, Cezary Orłowski, Kostas Karatzas, Gonçalo Marques, John Saffell, Sofia I.V. Sousa
Publikováno v:
Applied Spectroscopy Reviews. 57:747-779
Humans spend the majority of their time indoors, where they are potentially exposed to hazardous pollutants. Within this context, over the past few years, there has been an upsurge of low-cost sensors (LCS) for the measurement of indoor air pollutant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e72a57fbc0d34333ff91d8c4726c6d3
https://doi.org/10.1080/05704928.2022.2085734
https://doi.org/10.1080/05704928.2022.2085734
Machine learning for groundwater pollution source identification and monitoring network optimization
Autor:
Yiannis N. Kontos, Theodosios Kassandros, Konstantinos Perifanos, Marios Karampasis, Konstantinos L. Katsifarakis, Kostas Karatzas
Publikováno v:
Neural Computing and Applications. 34:19515-19545
The identification of the source in groundwater pollution is the only way to drastically deal with resulting environmental problems. This can only be achieved by an appropriate monitoring network, the optimization of which is prerequisite for the sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e045689211f7472425da7c3bfe8817dd
https://doi.org/10.1007/s00521-022-07507-8
https://doi.org/10.1007/s00521-022-07507-8
Publikováno v:
Sensors, Vol 21, Iss 5, p 1827 (2021)
The growing popularity of inexpensive IoT (Internet of Things) sensor networks makes their uncertainty an important aspect of their adoption. The uncertainty determines their fitness for purpose, their perceived quality and the usefulness of informat
Externí odkaz:
https://doaj.org/article/aeb9f0dbc968412daf18a7a3c83b8155
Autor:
Evangelos Bagkis, Theodosios Kassandros, Marinos Karteris, Apostolos Karteris, Kostas Karatzas
Publikováno v:
Atmosphere, Vol 12, Iss 2, p 251 (2021)
Air quality (AQ) in urban areas is deteriorating, thus having negative effects on people’s everyday lives. Official air quality monitoring stations provide the most reliable information, but do not always depict air pollution levels at scales refle
Externí odkaz:
https://doaj.org/article/917a95c90c404377bd9a7a41bcd2ecbf