Automated Forest Fire Detection using Atom Search Optimizer with Deep Transfer Learning Model-Reference-Cited by-同舟云学术

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Automated Forest Fire Detection using Atom Search Optimizer with Deep Transfer Learning Model

Published:2023-05-04 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Alice K.¹,Thillaivanan Alagu²,Koteswara Rao Ganga Rama³,S Rajalakshmi⁴,Singh Kamlesh⁵,Rastogi Ravi⁶

Affiliation:

1. Kani School of Computing, SRMIST,Department of Computing Technologies,Chengalpet,Tamilnadu,India

2. Shadan College of Engineering and Technology,Hyderabad,Telangana,India

3. Koneru Lakshmaiah Education Foundation,Department of CSIT,Guntur,Andhra Pradesh,India

4. RMK College of Engineering and Technology,Department of Electronics and Communication Engineering,Thiruvallur,Tamil Nadu,India

5. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

6. NIELIT,Gorakhpur,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10140172/10140203/10141524.pdf?arnumber=10141524

Reference18 articles.

1. An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks

2. FFireNet: Deep Learning Based Forest Fire Classification and Detection in Smart Cities

3. A Small-Target Forest Fire Smoke Detection Model Based on Deformable Transformer for End-to-End Object Detection

4. A Semi-Supervised Method for Real-Time Forest Fire Detection Algorithm Based on Adaptively Spatial Feature Fusion

5. DeepFire: A Novel Dataset and Deep Transfer Learning Benchmark for Forest Fire Detection

Cited by 3 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. Precision-Boosted Forest Fire Target Detection via Enhanced YOLOv8 Model;Applied Sciences;2024-03-13

2. Forest fire surveillance systems: A review of deep learning methods;Heliyon;2024-01

3. Desert/Forest Fire Detection Using Machine/Deep Learning Techniques;Fire;2023-10-29

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