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A Multi-Class Imbalanced Learning Method Using Random Balanced Sampling for Predicting the Quality Level of Diesel Engines

Published • Aug 7, 2024
NobleIDNI5P63W40R80S01
Authors:
Yu Song
,
Yan‐Ning Sun
,
Jiaqi Zhu

Abstract

Numerous process items and procedures in the assembly process of a diesel engine have a direct and significant impact on its performance, and accurate and effective assembly process control is a key technical bottleneck in improving the quality consistency of batch-produced diesel engines. Accurate ...

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