Skip to content
VuFind
Advanced
  • An artificial neural network-s...
  • Cite this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
Export Ready — 
An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia
QR Code

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

Bibliographic Details
Main Authors: Samsudin, Mohd Saiful, Azid, Azman, Abd Rani, Nurul Latiffah, Zaudi, Muhammad Amar, Saharuddin, Shazlyn Millenana, Tan, Mou Leong, Koki, Isa Baba
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:http://psasir.upm.edu.my/id/eprint/112847/
  • Holdings
  • Description
  • Similar Items
  • Staff View

Internet

http://psasir.upm.edu.my/id/eprint/112847/

Similar Items

  • Source of apportionment of air quality parameters at federal port of Malaysia with emphasis on ship emission
  • Control limit detection for source apportionment in Perlis River Basin, Malaysia
    by: Samsudin, Mohd Saiful, et al.
    Published: (2017)
  • Development of missing data prediction model for carbon monoxide
    by: Abd Rani, Nurul Latiffah, et al.
    Published: (2019)
  • Source apportionment of urban contaminants
    by: Usman, Abida
    Published: (2019)
  • Measurement and Simulation of Ship Under-Keel Clearance in Port Approach Channels
    by: Ha, Jeong Hun
    Published: (2018)

Search Options

  • Advanced Search

Find More

  • Browse the Catalog

Need Help?

  • Search Tips