ANALYSIS OF SMOTE-BASED DATA AUGMENTATION AND MACHINE LEARNING MODELS FOR BURST PRESSURE PREDICTION OF OIL AND GAS PIPELINES

SOOMRO, AFZAL AHMED (2024) ANALYSIS OF SMOTE-BASED DATA AUGMENTATION AND MACHINE LEARNING MODELS FOR BURST PRESSURE PREDICTION OF OIL AND GAS PIPELINES. Doctoral thesis, Universiti Teknologi PETRONAS.

Item Type:	Thesis (Doctoral)
Subjects:	T Technology > TJ Mechanical engineering and machinery
Departments / MOR / COE:	Engineering > Mechanical
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	02 Sep 2024 02:14
Last Modified:	02 Sep 2024 02:14
URI:	http://utpedia.utp.edu.my/id/eprint/28967

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