Forest-Fire Response System Using Deep-Learning-Based Approaches With CCTV Images and Weather Data

Forest-Fire Response System Using Deep-Learning-Based Approaches With CCTV Images and Weather Data

An effective forest-fire response is critical for minimizing the losses caused by forest fires. The purpose of this study is to construct a model for early fire detection and damage area estimation for response systems based on deep learning. First, we implement neural architecture search-based obje...

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Bibliographic Details
Main Authors: Bak, J. (Author), Jeon, Y. (Author), Park, M. (Author), Park, S. (Author), Tran, D.Q (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Barium compounds
Bayesian networks
Bayesian neural network
Bayesian neural networks
Biological system modeling
Biological systems
Damage detection
Decision trees
deep learning
Deep learning
Deforestation
Fire hazards
Fires
Forest fire management
Forest fires
Forest-fire management
Neural network models
object detection
Object detection
Object recognition
Objects detection
Proposal
Regression analysis
Statistical tests
Wind speed
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