An Optimized Multisource Bilinear Convolutional Neural Network Model for Flame Image Identification of Coal Mine

An Optimized Multisource Bilinear Convolutional Neural Network Model for Flame Image Identification of Coal Mine

Underground fire monitoring is an important tool to improve coal mine production safety. In this paper, a multi-source information identification method based on bilinear convolutional neural network (B-CNN) is proposed, which consists of construction of multi-source image acquisition system, B-CNN...

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Bibliographic Details
Main Authors: Li Zhang, Yuqin Zhu, Hao Wu, Kun Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Bilinear convolutional neural network
coal mine
data modeling
feature extraction
image processing
Online Access:https://ieeexplore.ieee.org/document/9762912/

Internet

https://ieeexplore.ieee.org/document/9762912/

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