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Research Paper | Computer Science & Engineering | India | Volume 6 Issue 5, May 2017
Wildfire Smoke Detection Using Computational Intelligence Techniques Enhanced with Synthetic Smoke Plume Generation
Sreechithra.S
Abstract: In this paper, I have propose an image processing system for the detection of wildfire smoke based on computational intelligence techniques enhanced with Synthetic Smoke Plume Generation and capable of adapting to different applicative environments. The proposed system is designed for processing with limited computational complexity. The detection process focuses on the extraction of specific features of wildfire smoke. The computed features are then used as inputs of classifiers based on computational intelligence techniques. In order to test its effectiveness, the proposed system has been tested with low quality frame sequences, providing the capability to deal also with low cost cameras. The results indicate that the proposed approach is accurate and can be effectively applied in different environmental conditions.
Keywords: computational intelligence techniques
Edition: Volume 6 Issue 5, May 2017,
Pages: 2600 - 2605
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Survey Paper, Computer Science & Engineering, India, Volume 11 Issue 7, July 2022
Pages: 1023 - 1029A Survey and High-Level Design on Human Activity Recognition
Abhishikat Kumar Soni | Dhruv Agrawal | Md. Ahmed Ali | Dr. B. G. Prasad [4]
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Research Proposals or Synopsis, Computer Science & Engineering, India, Volume 11 Issue 9, September 2022
Pages: 837 - 842An Optimized IoT-Enabled Big Data Analytics Architecture for Edge-Cloud Computing Using Deep Learning
Bharathi K.