[HTML][HTML] A semi-supervised method for real-time forest fire detection algorithm based on adaptively spatial feature fusion

J Lin, H Lin, F Wang - Forests, 2023 - mdpi.com
Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …

A Semi-Supervised Method for Real-Time Forest Fire Detection Algorithm Based on Adaptively Spatial Feature Fusion.

J Lin, H Lin, F Wang - Forests (19994907), 2023 - search.ebscohost.com
Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …

A Semi-Supervised Method for Real-Time Forest Fire Detection Algorithm Based on Adaptively Spatial Feature Fusion

J Lin, H Lin, F Wang - Forests, 2023 - agris.fao.org
Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …

A Semi-Supervised Method for Real-Time Forest Fire Detection Algorithm Based on Adaptively Spatial Feature Fusion

J Lin, H Lin, F Wang - Forests, 2023 - search.proquest.com
Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …

A semi-supervised method for real-time forest fire detection algorithm based on adaptively spatial feature fusion.

J Lin, H Lin, F Wang - 2023 - cabidigitallibrary.org
Forest fires occur frequently around the world, causing serious economic losses and human
casualties. Deep learning techniques based on convolutional neural networks (CNN) are …