Corrosion and coating defect assessment of coal handling and preparation plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion

In view of the problems of ineffective feature extraction and low detection accuracy in existing detection system, this study presents a novel machine vision-based approach composed of an ensemble of deep convolutional neural networks (CNNs) and improved Dempster-Shafer (D-S) theory-based data fusio...

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Veröffentlicht in:Neural computing & applications 2023-09, Vol.35 (25), p.18697-18718
Hauptverfasser: Yu, Yang, Hoshyar, Azadeh Noori, Samali, Bijan, Zhang, Guang, Rashidi, Maria, Mohammadi, Masoud
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Sprache:eng
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