A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems

A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems

An Air Pressure System (APS) is one of the crucial components of an automobile. Its failure leads to financial loses, and it may lead to loss of lives. Thus predicting such failure is a critical problem that requires a rigorous solution. Recently, many researchers have presented machine learning tec...

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Bibliographic Details
Main Authors: Mujahid N. Syed, Md. Rafiul Hassan, Irfan Ahmad, Mohammad Mehedi Hassan, Victor Hugo C. De Albuquerque
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
APS failure prediction
imbalanced data
area under the curve (AUC)
machine learning
Online Access:https://ieeexplore.ieee.org/document/9309305/

Internet

https://ieeexplore.ieee.org/document/9309305/

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