Article detail · 2020
Spatial prediction of PM10 concentration using machine learning algorithms in Ankara, Turkey
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 135
Top 10%
Percentile 97.1%
FWCI 5.53
- Year
- 2020
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Environmental Pollution
- Catalog match (ISSN) Environmental Pollution
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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135 citations
OpenAlex cited_by_count (cache / database)
32 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector 2024
- Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector 2024
- Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector 2024
- A deep learning approach to model daily particular matter of Ankara: key features and forecasting 2022
- Estimation of PM10 levels using feed forward neural networks in Igdir, Turkey 2020
- Predicting deep well pump performance with machine learning methods during hydraulic head changes 2024
- Optimizing Air Quality Predictions: A Discrete Wavelet Transform and Long Short-Term Memory Approach with Wavelet Type Selection for Hourly PM10 Concentrations 2024
- ATMOSFERİK PARTİKÜL MADDELERİN MAKİNE ÖĞRENMESİ İLE TAHMİNİ: BEŞİKTAŞ, İSTANBUL ÖRNEĞİ 2022
- Air Quality of Bursa: Temporal and Spatial Evaluation of PM10, PM2.5, NO2 and SO2 Pollutants Using IDW Geostatistical Technique 2025