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  1. Main page
  2. Publication news
Print 6127 Archive
Publication news
02 Aug, 2023Chapters co-authored by Khazar University undergraduate students in the book "Advanced Fluoropolymer Nanocomposites"
02 Aug, 2023Article by Director of Khazar University Cell Pathology Research Center in "Redox Biochemistry and Chemistry” Journal
25 JUL, 2023Article co-authored by Khazar University staff member published in "American Chemical Society” journal
01 JUN, 2023Article by Political Sciences and Philosophy Department Head in "Khazar Journal of Humanities and Social Sciences"
25 May, 2023Lecturer of Political Science and Philosophy Department Dr. Farid Guliyev's Article in ”Journal of Eurasian Studies"
17 May, 2023Article by Professor of Mathematics Department in “Southeast Asian Bulletin of Mathematics” Journal
12 May, 2023Article by the professor of Mathematics Department in "Palestine Journal of Mathematics"
09 May, 2023Article by Professor of the Department of Mathematics in “Konuralp Journal of Mathematics”
06 May, 2023Article by Professor of the Department of Mathematics in ”Le Matematiche" journal
02 May, 2023Chapters Co-authored by Former Khazar University BSc Students in the Book "Functionalized Nanofibers”

Article by Khazar University’s Faculty Member Published in International Scientific Journal

An article by Amir Rahmani, its first co-author, Faculty member at Khazar University Department of Computer Science, entitled “An intelligent algorithm to recommend percent vegetation iicover (ARVC) for PM reduction”, was published in “Air Quality, Atmosphere & Health”, an international journal from Springer collection.

The researchers examined the effectiveness of a new algorithm based on fuzzy and neural network methods to detect air quality and recommend the density percentage and vegetation cover required for air quality. The studies were conducted with periodic measurements and assessments of weather conditions during the fall and winter period. It was found that the recommended vegetation cover leads to a 20-74% reduction in PM2.5, i.e. air pollution with particles smaller than 2.5 micrometers.

The article can be read at this link:

https://link.springer.com/article/10.1007/s11869-020-00844-4#auth-2 

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