An EfficientNetv2-based method for coal conveyor belt foreign object detection
The detection and recognition of foreign objects on coal conveyor belts play a crucial role in coal production. This article proposes a foreign object detection method for coal conveyor belts based on EfficientNetv2. Since MBConv and Fused-MBConv structures in EfficientNetv2 employ information compr...
Saved in:
Main Authors: | Tao Hu, Deyu Zhuang, Jinbo Qiu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1444877/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
FAULT DIAGNOSIS OF ROLLING BEARINGS BASED ON SDP AND IMPROVED SAM⁃MobileNetv2
by: ZHANG TianYuan, et al.
Published: (2024-08-01) -
Fault Diagnosis of Rolling Bearings Based on Two-step Transfer Learning and EfficientNetV2
by: Du Kangning, et al.
Published: (2023-07-01) -
Some strange things about the mechanical properties of glass
by: Rouxel, Tanguy
Published: (2023-01-01) -
Mechanical properties of modern restorative “bioactive” dental materials - an in vitro study
by: Mateusz Radwanski, et al.
Published: (2025-01-01) -
La Bible d’Étienne Harding et les origines de Cîteaux : perspectives de recherche
by: Alessia Trivellone
Published: (2009-08-01)