This study suggests an energy-efficient IoT architecture for the early detection of wildfires backed by fog-cloud computing technologies.
This study suggests an energy-efficient IoT architecture for the early detection of wildfires backed by fog-cloud computing technologies.
Mar 14, 2022 · Specifically, this study suggests an energy-efficient IoT architecture for the early detection of wildfires backed by fog-cloud computing ...
IoT-inspired Framework for Real-time Prediction of Forest Fire. Language: English; Authors: Aljumah, Abdullah1 aljumah@psau.edu.sa; Source: International ...
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Specifically, this study suggests an energy-efficient IoT architecture for the early detection of wildfires backed by fog-cloud computing technologies. To ...
This work uses Fog-assisted IoT-enabled framework for early prediction and forecasting of forest fires, with IoT sensors embedded in forests to monitor and ...
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Entire wireless sensor network (WSN) is designed by using sensor nodes which are designed by taking several environment parameters like humidity, temperature, ...
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This study provides an in-depth examination of the use of AI algorithms in the fight against forest fires.
Multispectral and thermal remote sensing data combined with probability distribution models were used by Carmine Maffei et al. [39] to predict forest fire ...