Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ditsuhi Iskandaryan"'
Publikováno v:
IEEE Access, Vol 11, Pp 2729-2742 (2023)
Air quality monitoring, modelling and forecasting are considered pressing and challenging topics for citizens and decision-makers, including the government. The tools used to achieve the above goals vary depending on the opportunities provided by tec
Externí odkaz:
https://doaj.org/article/11c940a9cdcd453ebdaad65ef70e375e
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108957- (2023)
This paper introduces the reconstructed dataset along with procedures to implement air quality prediction, which consists of air quality, meteorological and traffic data over time, and their monitoring stations and measurement points. Given the fact
Externí odkaz:
https://doaj.org/article/80d4453ca43948958f80cc383dc6aac7
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced information on its concentration in the air can help to monitor and control further consequences more effectively, while also making it easier to apply preve
Externí odkaz:
https://doaj.org/article/3b7d38bd5ebc4501b0842cde3d136449
Publikováno v:
Atmosphere, Vol 12, Iss 3, p 312 (2021)
Air pollution and its consequences are negatively impacting on the world population and the environment, which converts the monitoring and forecasting air quality techniques as essential tools to combat this problem. To predict air quality with maxim
Externí odkaz:
https://doaj.org/article/5a12e40cc84f4a29bfacdac02f8b7446
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6750 (2020)
The growing popularity of soccer has led to the prediction of match results becoming of interest to the research community. The aim of this research is to detect the effects of weather on the result of matches by implementing Random Forest, Support V
Externí odkaz:
https://doaj.org/article/e3aa9ed421004aa1a2cef2a2bdc14f8f
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2401 (2020)
The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields. This paper covers the revision of the studies related to air pollution p
Externí odkaz:
https://doaj.org/article/84160ac287944a45b4177de0db716c5a
Publikováno v:
AGILE: GIScience Series. 3:1-11
Nitrogen dioxide is one of the most hazardous pollutants identified by the World Health Organisation. Predicting and reducing pollutants is becoming a very urgent task and many methods have been used to predict their concentration, such as physical o
Publikováno v:
Progress in IS ISBN: 9783031183102
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068b0b091fcb7898488b1cefbc402075
https://doi.org/10.1007/978-3-031-18311-9_7
https://doi.org/10.1007/978-3-031-18311-9_7
Publikováno v:
EDULEARN Proceedings.
Traditionally, machine learning technologies with the methods and capabilities available, combined with a geospatial dimension, can perform predictive analyzes of air quality with greater accuracy. However, air pollution is influenced by many externa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52fd74d3cfd389d81932ed05cf63bd9e