An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia

Author:

Samsudin Mohd SaifulORCID,Azid Azman,Rani Nurul Latiffah Abd,Zaudi Muhammad Amar,Saharuddin Shazlyn Millenana,Tan Mou Leong,Koki Isa Baba

Publisher

Springer Science and Business Media LLC

Reference77 articles.

1. Smith TW, Jalkanen JP, Anderson BA, Corbett JJ, Faber J, Hanayama S, O’Keeffe E, Parker S, Johansson L, Aldous L, Raucci C. (2014). Third imo ghg study 2014. International maritime Organisation (IMO), London, UK, 2014

2. Saputra H, Maimun A, Koto J (2013) Estimation and distribution of exhaust ship emission from marine traffic in the straits of Malacca and Singapore using Automatic Identification System (AIS) data. Jurnal Mekanikal

3. Mihmanli E (2011) Research Report: Combating Piracy in the Strait of Malacca

4. Toscano D, Murena F (2019) Atmospheric ship emissions in ports: a review. Correlation with data of ship traffic. Atmos Environ X 4:100050

5. Song SK, Shon ZH, Kim YK, Kang YH, Oh IB, Jung CH (2010) Influence of ship emissions on ozone concentrations around coastal areas during summer season. Atmos Environ 44(5):713–723

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