Data augmentation using SMOTE technique: Application for prediction of burst pressure of hydrocarbons pipeline using supervised machine learning models

Data augmentation using SMOTE technique: Application for prediction of burst pressure of hydrocarbons pipeline using supervised machine learning models

Saved in:
Bibliographic Details
Main Authors: Soomro, Afzal Ahmed, Mokhtar, Ainul Akmar, Muhammad, Masdi B., Saad, Mohamad Hanif Md, Lashari, Najeebullah, Hussain, Muhammad, Palli, Abdul Sattar
Format: Article
Published: Elsevier B.V. 2024
Online Access:http://scholars.utp.edu.my/id/eprint/38174/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208018806&doi=10.1016%2fj.rineng.2024.103233&partnerID=40&md5=18c37113fcacfe0e58dec34292d5f490
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://scholars.utp.edu.my/id/eprint/38174/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208018806&doi=10.1016%2fj.rineng.2024.103233&partnerID=40&md5=18c37113fcacfe0e58dec34292d5f490

Similar Items