THE LARGE-SCALE WILDFIRE SPREAD PREDICTION USING A MULTI-KERNEL CONVOLUTIONAL NEURAL NETWORK

6 citations as recorded by crossref.

1. Predicting the Continuous Spatiotemporal State of Ground Fire Based on the Expended LSTM Model with Self-Attention Mechanisms X. Wang et al. 10.3390/fire6060237
2. CVTNet: A Fusion of Convolutional Neural Networks and Vision Transformer for Wetland Mapping Using Sentinel-1 and Sentinel-2 Satellite Data M. Marjani et al. 10.3390/rs16132427
3. Fire spread prediction model based on multi-scale convolutional neural network S. Liu et al. 10.1007/s11042-024-20400-x
4. Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach M. Marjani et al. 10.1109/LGRS.2024.3417624
5. CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction M. Marjani et al. 10.3390/rs16081467
6. Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context for Impact Adaptation and Mitigation in Urban Areas M. Yarmohamadi et al. 10.3390/rs15092468