Khazar University

28 April, 2025A Joint Article by Professors of the Mathematics Department Published in “Iranian Journal of Science”

28 April, 2025An Article by a Professor of the Mathematics Department Published in “Filomat” Journal

18 March, 2025Mathematics Department Professor's Article Published in "Ural Mathematical Journal"

12 March, 2025Joint Article by Mathematics Department Professors Published in "Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes" Journal

20 February, 2025Mathematics Department Professor's Article Published in "Filomat" Journal

08 January, 2025Mathematics Department Professors' Joint Article Published in "Applicable Analysis and Discrete Mathematics" Journal

05 December, 2024Joint Article by Mathematics Department Professors Published in "Sahand Communications in Mathematical Analysis"

20 November, 2024Book by Head of Political Science and Philosophy Department Published in Persian in Iran

11 November, 2024Joint Article by Mathematics Department Professors Published in "Afrika Matematika" Journal

31 October, 2024Article by Head of Political Science and Philosophy Department Assoc. Prof. Orkhan Valiyev in the “Imgelem” Journal

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