Nov 1, 2023 · It is suggested that fire breakouts be detected using a Recurrent LSTM Neural Network (RLSTM-NN). Here, we propose a Cat Swarm Fractional ...
Oct 22, 2024 · Subsequently, a study [13] combined a crowd of cats with an LSTM model and proposed an IoT-based forest fire detection system, achieving an ...
Aug 5, 2024 · An IoT based forest fire detection system using integration of cat swarm with LSTM model. Comput. Commun. 211: 37-45 (2023)
2020. An IoT based forest fire detection system using integration of cat swarm with LSTM model. R Mahaveerakannan, C Anitha, AK Thomas, S Rajan, T Muthukumar ...
This study addresses the critical need for a comprehensive fire detection system capable of multistage classification, differentiating between non-fire, smoke, ...
Oct 6, 2023 · The research paper presents an IoT-enabled fire management system for active forest fire occurrences.
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Sep 24, 2024 · In this study, we present a comprehensive approach for forest fire detection utilizing satellite data, image processing techniques, and advanced ...
In this paper, the proposed system presents a two-stage forest fire detection system that first uses a wireless sensor network of MQ sensors and a Node MCU ...
Missing: cat swarm LSTM
This study addresses the critical need for a comprehensive fire detection system capable of multistage classification, differentiating between non-fire, smoke, ...
[PDF] iot based forest fire detection system - Sathyabama Institute
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The structure framework utilizes 3 sensors tilt sensor to acknowledge the tendency of the tree once it's being cut, temperature sensor to determine timberland ...