Maja Anachkova
Biographic Data
| ID | 6933621 |
|---|---|
| NAME | Maja Anachkova |
| GIVEN NAMES | Maja |
| FAMILY NAME | Anachkova |
| SIGNATURE | ANACHKOVA M |
| AFFILIATIONS | Saints Cyril and Methodius University of Skopje |
| ORCID | 0000-0002-8213-1682 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Traffic Contribution Assessment to Urban Air Quality Using ADMS-Urban
Urban air pollution in Skopje, a city with complex topography, is strongly influenced by traffic emissions, household heating, industrial activities, and meteorological conditions, leading to pronounced spatial and seasonal variability. The objective of this study is to assess the contribution of major urban emission sources to air quality in Skopje, with a focus on traffic pollution, and to quantify their seasonal influence on NO2, PM10, and PM2…
Urban Sound Classification for IoT Devices in Smart City Infrastructures
Urban noise is a major environmental concern that affects public health and quality of life, demanding new approaches beyond conventional noise level monitoring. This study investigates the development of an AI-driven Acoustic Event Detection and Classification (AED/C) system designed for urban sound recognition and its integration into smart city application. Using the UrbanSound8K dataset, five acoustic parameters—Mel Frequency Cepstral Coeffic…
No prominent works on this page.
Urban Sound Classification for IoT Devices in Smart City Infrastructures
Urban noise is a major environmental concern that affects public health and quality of life, demanding new approaches beyond conventional noise level monitoring. This study investigates the development of an AI-driven Acoustic Event Detection and Classification (AED/C) system designed for urban sound recognition and its integration into smart city application. Using the UrbanSound8K dataset, five acoustic parameters—Mel Frequency Cepstral Coeffic…
Traffic Contribution Assessment to Urban Air Quality Using ADMS-Urban
Urban air pollution in Skopje, a city with complex topography, is strongly influenced by traffic emissions, household heating, industrial activities, and meteorological conditions, leading to pronounced spatial and seasonal variability. The objective of this study is to assess the contribution of major urban emission sources to air quality in Skopje, with a focus on traffic pollution, and to quantify their seasonal influence on NO2, PM10, and PM2…
Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Air quality index (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric dispersion modeling (1 work) · Convolutional neural network (1 work) · Deep learning (1 work) · Mel-frequency cepstrum (1 work) · Music and Audio Processing (1 work) · Naive Bayes classifier (1 work)