Comparative Study of Different Methods for Fire Detection Using Convolutional Neural Network (CNN)-Reference-Cited by-同舟云学术

Comparative Study of Different Methods for Fire Detection Using Convolutional Neural Network (CNN)

Published:2022-01-20 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Rachana P¹,Rajalakshmi B¹,Bhat Tushar¹,Kaur Sukhmanjeet¹,Bimali Stuti¹

Affiliation:

1. New Horizon College of Engineering,Department Of Computer Science,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716284.pdf?arnumber=9716284

Reference42 articles.

1. Experimentally defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection (Dunnings, Breckon);Proc International Conference on Image Processing IEEE,0

2. Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection, Ganesh Samarth C.A.1,2, Neelanjan Bhowmik2, Toby P. Breckon2;Proc International Conference on Machine Learning Applications IEEE,0

3. Study of Variants of Extreme Learning Machine (ELM) Brands and its Performance Measure on Classification Algorithm;manoharan;Journal of Soft Computing Paradigm (JSCP),2021

4. Real Time Monitoring and Fire Detection using Internet of Things and Cloud based Drones

5. Comparative Polarity Analysis on Amazon Product Reviews Using Existing Machine Learning Algorithms

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