Flame Image Recognition Based on Lightweight Convolutional Neural Network-Reference-Cited by-同舟云学术

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Flame Image Recognition Based on Lightweight Convolutional Neural Network

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
language:
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Author:

Wang Hualu¹,Long Yunxin²,Hu Ming¹,Yan Hui¹,Chen Hanlin¹

Affiliation:

1. Changchun Institute of Technology,"Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering",Platform of Jilin Province Science and Technology (S&T) Department,Changchun,China,130012

2. Changchun University of Chinese Medicine,College of Traditional Chinese Medicine,Changchun,China,130117

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9723821/9723822/09724056.pdf?arnumber=9724056

Reference10 articles.

1. Low-Light Forest Flame Image Segmentation Based on Color Features

2. Flame Recognition in Video Images with Color and Dynamic Features of Flames[J];song;Journal of Autonomous Intelligence,2019

3. Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3

4. Segmentation and measurement scheme for fish morphological features based on Mask R-CNN[J];chuang;Information Processing in Agriculture,2020

5. Deep reinforcement learning: a survey

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