Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22877
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dc.contributor.authorStoimenovski, Ben_US
dc.contributor.authorMitreski, Kostaen_US
dc.contributor.authorNaumoski, Andrejaen_US
dc.contributor.authorSerafimovski, Den_US
dc.date.accessioned2022-09-05T12:51:43Z-
dc.date.available2022-09-05T12:51:43Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22877-
dc.description.abstractOzone is health-hazardous air pollutant and his level in the living environment is very important to be tracked and understand. This specific gas in nowadays occurs as byproduct of certain human activities, especially with car pollution and naturally due to increased temperature. Therefore, it is important to understand the relationship between this variable. The focus of this paper is to model this relationship, with data collected for period of 3 months in 2014 and 2015(summer period). According to the models obtained with machine learning methods, high level concentrations of ozone was found if temperature of the air is higher than 30.15o C and concentrations of NO2 are lower than 16.93 mg/m3 (in 2013). Encourage by this model, in this paper we go further and extend our research to include more data (from 2014 and 2015) and different methods to find other influencing factors that contributes to high concentration of ozone.en_US
dc.publisherScientific Technical Union of Mechanical Engineering" Industry 4.0"en_US
dc.relation.ispartofTrans Motauto Worlden_US
dc.subjectTHRESHOLD OZONE, DECISION TREE, ENVIRONMENTAL PARAMETERS, TROPOSPHEREen_US
dc.titleANALYZING THE LEVEL OF HIGH TROPOSPHERC OZONE DURING THE SUMMER 2014 and 2015 IN SKOPJE, R. MACEDONIAen_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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