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- W4313451535 abstract "In this research, we propose a Distributed Search Engine Query Optimization (DSEQO) based sensor network concept for instantaneous forest fire exposure. The sensor network may identify and predict forest fire more sharp than the outdated satellite-based prediction method. The research mainly defines the information gathering and managing in sensor networks for real-time forest fire detection. To predict the real-time fire identification, an ANN technique is utilized to in-network information processing. After simulation it was seen that the suggested approach gives better results with LM approach in terms of Accuracy and Miss Rate." @default.
- W4313451535 created "2023-01-06" @default.
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- W4313451535 date "2022-10-06" @default.
- W4313451535 modified "2023-09-27" @default.
- W4313451535 title "Distributed Search Engine Query Optimization Using Artificial Neural Network" @default.
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- W4313451535 doi "https://doi.org/10.1109/iccr56254.2022.9995958" @default.
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