Ahmed, A. A. and Pradhan, B. (2019). Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system. Environmental monitoring and assessment, 191(3), 190.
Arain, M. A., Blair, R., Finkelstein, N., Brook, J. R., Sahsuvaroglu, T., Beckerman, B. & Jerrett, M. (2007). The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies. Atmospheric Environment, 41(16), 3453-3464.
Atimtay, A. T., Emri, S., Bagci, T. and Demir, A. U. (2000). Urban CO exposure and its health effects on traffic policemen in Ankara. Environmental research, 82(3), 222-230.
Azeez, O. S., Pradhan, B., Shafri, H. Z., Shukla, N., Lee, C. W. and Rizeei, H. M. (2019). Modeling of CO emissions from traffic vehicles using artificial neural networks. Applied Sciences, 9(2), 313.
Azeez, O., Pradhan, B. and Shafri, H. (2018). Vehicular CO emission prediction using support vector regression model and GIS. Sustainability, 10(10), 3434.
Behera, S. N., Sharma, M., Mishra, P. K., Nayak, P., Damez-Fontaine, B. and Tahon, R. (2015). Passive measurement of NO2 and application of GIS to generate spatially-distributed air monitoring network in urban environment. Urban Climate, 14, 396-413.
Dai, K. Y., Liu, G. R., Lim, K. M. and Gu, Y. T. (2003). Comparison between the radial point interpolation and the Kriging interpolation used in meshfree methods. Computational Mechanics, 32(1-2), 60-70.
Gardner, M. W. and Dorling, S. R. (1998). Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences. Atmospheric environment, 32(14), 2627-2636.
Guzman, A. F., Vassallo, J. M. and Hortelano, A. O. (2016). A Methodology for assessing the regional economy and transportation impact of introducing longer and heavier vehicles: Application to the road network of Spain. Networks and Spatial Economics, 16(3), 957-979.
Farhadi, R., Hadavifar, M., Moeinaddini, M. and Amintoosi, M. (2019). Prediction of the Air Quality by Artificial Neural Network Using Instability Indices in the City of Tehran-Iran. AUT Journal of Civil Engineering.
Iraq National Population Commission. (2012). Iraq Population Situation Analysis Report.
Jasim, O. Z., Hamed, N. H. and Abid, M. A. (2020). Urban air quality assessment using integrated artificial intelligence algorithms and geographic information system modeling in a highly congested area, Iraq. Journal of Southwest Jiaotong University, 55(1).
Jiang, D., Zhang, Y., Hu, X., Zeng, Y., Tan, J. and Shao, D. (2004). Progress in developing an ANN model for air pollution index forecast. Atmospheric Environment, 38(40), 7055-7064.
Kho, F. W. L., Law, P. L., Ibrahim, S. H. and Sentian, J. (2007). Carbon monoxide levels along roadway. International Journal of Environmental Science & Technology, 4(1), 27-34.
Kim, Y. and Guldmann, J. M. (2015). Land-use regression panel models of NO2 concentrations in Seoul, Korea. Atmospheric Environment, 107, 364-373.
Mokhtarzade, M. and Zoej, M. V. (2007). Road detection from high-resolution satellite images using artificial neural networks. International journal of applied earth observation and geoinformation, 9(1), 32-40.
Potoglou, D. and Kanaroglou, P. S. (2005). Carbon monoxide emissions from passenger vehicles: predictive mapping with an application to Hamilton, Canada. Transportation Research Part D: Transport and Environment, 10(2), 97-109.
Prockop, L. D. and Chichkova, R. I. (2007). Carbon monoxide intoxication: an updated review. Journal of the neurological sciences, 262(1-2), 122-130.
Ragettli, M. S., Goudreau, S., Plante, C., Fournier, M., Hatzopoulou, M., Perron, S. and Smargiassi, A. (2016). Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics. Journal of Exposure Science and Environmental Epidemiology, 26(6), 597.
Sportisse, B. (2007). A review of current issues in air pollution modeling and simulation. Computational Geosciences, 11(2), 159-181.
World Health Organization, & UNAIDS. (2006). Air quality guidelines: global update 2005. World Health Organization.
Yang, G. Y. C. (1995). Geological mapping from multi-source data using neural networks. Geomatics Engineering, University of Calgary.
Zhou, L., Pan, S., Wang, J. and Vasilakos, A. V. (2017). Machine learning on big data: Opportunities and challenges. Neurocomputing, 237, 350-361.