has been cited by the following article(s):
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[1]
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Seasonal analysis of meteorological parameters and air pollutant concentrations in Kolkata: An evaluation of their relationship
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Journal of Cleaner Production,
2024 |
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[2]
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Study of pollution status and health risks for selected metals in PM10 from Islamabad, Pakistan
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International Journal of Environmental Science and …,
2024 |
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[3]
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Assessing Air Quality Using Multivariate Statistical Approaches
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Civil Engineering Journal,
2024 |
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[4]
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Application of Random Forest in a Predictive Model of PM10 Particles in Mexico City.
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Nature Environment & Pollution …,
2024 |
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[5]
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Perbandingan Performa Algoritma Metode Bagging dan Boosting pada Prediksi Konsentrasi PM10 di Jakarta Utara
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Jurnal Nasional Teknologi dan Sistem …,
2024 |
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[6]
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The The Relationship between Particulate Matter (PM10) and Meteorological Parameters in Ipoh, Perak (2020-2021): Hubungan antara Partikel Terampai (PM10) dan …
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GEOGRAFI,
2023 |
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[7]
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Artificial Neural Network Based Prediction of PM2.5 Mass Concentration
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2023 29th …,
2023 |
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[8]
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Overview of PM10, PM2.5 and BC and Their Dependent Relationships with Meteorological Variables in an Urban Area in Northwestern Morocco
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Atmosphere,
2023 |
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[9]
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The Influence of Meteorological Parameters on PM10: A Statistical Analysis of an Urban and Rural Environment in Izmir/Türkiye
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Atmosphere,
2023 |
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[10]
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CO and PM10 Prediction Model based on Air Quality Index Considering Meteorological Factors in DKI Jakarta using LSTM
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Scientific Journal of …,
2022 |
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[11]
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Correlating Particulate Matter Concentrations with Wind Speed and Temperature using Machine Learning Algorithm
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2021 |
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[12]
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Application of hysplit model to evaluate the relationship between meteorological parameters and PM10 content in the atmospheric environment in Ha Noi city …
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2020 |
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[13]
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Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic
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2020 |
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[14]
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Ứng dụng mô hình HYSPLIT nghiên cứu mối liên hệ giữa các thông số khí tượng và hàm lượng bụi PM10 trong môi trường không khí tại Thành phố Hà …
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[1]
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Characteristics of water-soluble inorganic ions and carbonaceous compounds in PM2.5 in the urban area of Hanoi, Vietnam
Environmental Earth Sciences,
2025
DOI:10.1007/s12665-024-12077-0
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[2]
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Effect of geographical parameters on PM10 pollution in European landscapes: a machine learning algorithm-based analysis
Environmental Sciences Europe,
2024
DOI:10.1186/s12302-024-00972-z
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[3]
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Application of machine learning and deep learning techniques in modeling the associations between air pollution and meteorological parameters in urban areas of tehran metropolis
Environmental Monitoring and Assessment,
2024
DOI:10.1007/s10661-024-13162-4
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[4]
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Artificial Neural Network Based Prediction of PM2.5 Mass Concentration
2023 29th International Conference on Telecommunications (ICT),
2023
DOI:10.1109/ICT60153.2023.10374055
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[5]
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Impacts of Built-Up Area Geometry on PM10 Levels: A Case Study in Brno, Czech Republic
Atmosphere,
2020
DOI:10.3390/atmos11101042
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