Predicting of Particle Non-exhaust Emissions Based on Real-Time Measurements

Author:

Belkacem Ines,Helali Ali,Khardi Salah,Slimi Khalifa

Publisher

Springer International Publishing

Reference16 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. Abdullah, S., Ismail, M., Fong, S.Y., Ahmed, A.N.: Evaluation for long term PM10 forecasting using multilinear regression (MLR) and principal component regression (PCR) models. Environ. Asia. 9, 101–110 (2016)

3. Ahmat, H., Yahaya, A.S., Ramli, N.A.: The Malaysia PM10 analysis using extreme value. J. Eng. Sci. Technol. 10, 1560–1574 (2015)

4. 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)

5. Lecture Notes in Mechanical Engineering;I Belkacem,2022

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