An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112847/ |
| _version_ | 1848866054642597888 |
|---|---|
| author | Samsudin, Mohd Saiful Azid, Azman Abd Rani, Nurul Latiffah Zaudi, Muhammad Amar Saharuddin, Shazlyn Millenana Tan, Mou Leong Koki, Isa Baba |
| author_facet | Samsudin, Mohd Saiful Azid, Azman Abd Rani, Nurul Latiffah Zaudi, Muhammad Amar Saharuddin, Shazlyn Millenana Tan, Mou Leong Koki, Isa Baba |
| author_sort | Samsudin, Mohd Saiful |
| building | UPM Institutional Repository |
| collection | Online Access |
| first_indexed | 2025-11-15T14:14:30Z |
| format | Article |
| id | upm-112847 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:14:30Z |
| publishDate | 2024 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1128472024-11-06T04:01:21Z http://psasir.upm.edu.my/id/eprint/112847/ An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia Samsudin, Mohd Saiful Azid, Azman Abd Rani, Nurul Latiffah Zaudi, Muhammad Amar Saharuddin, Shazlyn Millenana Tan, Mou Leong Koki, Isa Baba Springer Science and Business Media Deutschland GmbH 2024 Article PeerReviewed 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 https://link.springer.com/article/10.1007/s00521-024-09699-7 10.1007/s00521-024-09699-7 |
| spellingShingle | Samsudin, Mohd Saiful Azid, Azman Abd Rani, Nurul Latiffah Zaudi, Muhammad Amar Saharuddin, Shazlyn Millenana Tan, Mou Leong Koki, Isa Baba An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia |
| title | An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia |
| title_full | An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia |
| title_fullStr | An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia |
| title_full_unstemmed | An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia |
| title_short | An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia |
| title_sort | artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in malaysia |
| url | http://psasir.upm.edu.my/id/eprint/112847/ http://psasir.upm.edu.my/id/eprint/112847/ http://psasir.upm.edu.my/id/eprint/112847/ |