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pro vyhledávání: '"Jadouli, Ayoub"'
Autor:
Jadouli, Ayoub, Amrani, Chaker El
Wildfires pose significant threats to ecosystems, economies, and communities worldwide, necessitating advanced predictive methods for effective mitigation. This study introduces a novel and comprehensive dataset specifically designed for wildfire pre
Externí odkaz:
http://arxiv.org/abs/2411.06202
Autor:
Jadouli, Ayoub, Amrani, Chaker El
Traditional Feed-Forward Neural Networks (FFNN) and one-dimensional Convolutional Neural Networks (1D CNN) often encounter difficulties when dealing with long, columnar datasets that contain numerous features. The challenge arises from two primary fa
Externí odkaz:
http://arxiv.org/abs/2411.06020
Autor:
Jadouli, Ayoub, Amrani, Chaker El
This paper presents a novel approach in wildfire prediction through the integration of multisource spatiotemporal data, including satellite data, and the application of deep learning techniques. Specifically, we utilize an ensemble model built on tra
Externí odkaz:
http://arxiv.org/abs/2407.15878