Citation
Samsudin, Mohd Saiful and Azid, Azman and Abd Rani, Nurul Latiffah and Zaudi, Muhammad Amar and Saharuddin, Shazlyn Millenana and Tan, Mou Leong and Koki, Isa Baba
(2024)
An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia.
Neural Computing and Applications, 36 (19).
pp. 11323-11337.
ISSN 0941-0643; eISSN: 1433-3058
Download File
Full text not available from this repository.
Official URL or Download Paper: https://link.springer.com/article/10.1007/s00521-0...
|
Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Forestry and Environment |
| DOI Number: | https://doi.org/10.1007/s00521-024-09699-7 |
| Publisher: | Springer Science and Business Media Deutschland GmbH |
| Keywords: | Neural network; Prediction model; Source apportionment; Urban air quality |
| Depositing User: | Ms. Azian Edawati Zakaria |
| Date Deposited: | 06 Nov 2024 04:01 |
| Last Modified: | 06 Nov 2024 04:01 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s00521-024-09699-7 |
| URI: | http://psasir.upm.edu.my/id/eprint/112847 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |