Hybrid Deep VGG-NET Convolutional Classifier for Video Smoke Detection-Reference-Cited by-同舟云学术

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Hybrid Deep VGG-NET Convolutional Classifier for Video Smoke Detection

Published:2019 Issue:3 Volume:119 Page:427-458
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Matlani Princy,Shrivastava Manish

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of space invariant artificial neural networks for network image interaction design;Journal of Intelligent & Fuzzy Systems;2024-04-17

2. A triple interference removal network based on temporal and spatial attention interaction for forest smoke recognition in videos;Computers and Electronics in Agriculture;2024-03

3. An Edge-based Fire Detection System for Real-Time IoT Applications;2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT);2023-11-23

4. Smoke Detection Using its Static and Dynamic Features Based on Fractional Order Optical Flow and Deep Learning Models for Fire Prediction;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. MS-FRCNN: A Multi-Scale Faster RCNN Model for Small Target Forest Fire Detection;Forests;2023-03-19

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