Predicting of Particle Exhaust-Emissions from Urban Road Traffic Using Artificial Neural Networks (ANNs)
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-84958-0_39
Reference21 articles.
1. Abdullah, S., Ismail, M., Ahmed, A.N., Abdullah, A.M.: Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support. Atmosphere 10(11), 667 (2019)
2. Antonopoulos, V.Z., Antonopoulos, A.V.: Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables. Comput. Electron. Agric 132, 86–96 (2017)
3. Antanasijević, D., Pocajt, V., Ristić, M., Perić-Grujić, A.: Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks. Energy 84, 816–824 (2015)
4. Benedetti, M., Cesarotti, V., Introna, V., Serranti, J.: Energy consumption control automation using artificial neural networks and adaptive algorithms: proposal of a new methodology and case study. J. Appl. Energy 165, 60–71 (2016)
5. Belkacem, I., Khardi, S., Helali, A., Slimi, K., Serindat, S.: The influence of urban road 722 traffic on nanoparticles: Roadside measurements. Atmos. Environ 242, 117786 (2020)
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