… Lack of an adequate early warning system impacts … , a multi-modal wildfire prediction and
early warning system has been developed based on a novel spatio-temporal machine learning …

… , a multi-modal wildfire prediction and personalized early warning system has been developed
based on an … This project explores a multi-modal wildfire prediction and personalized …

… At the same time, an early warning system based on AI which can predict the occurrence
of … Ref [55] represented a novel ensemble learning method which can detect forest fire in …

… a novel approach grounded in artificial intelligence to … enhancement of early warning systems
for forest fires, ultimately … of machine learning techniques to improve early forest fire detec…

… a multi-modal wildfire prediction and early warning system based on a novel machine
learning … network, their system achieved over 97% accuracy in predicting wildfires, surpassing …

… to predict, detect, and prevent them. Against the backdrop of climate change and human
activity, … In response to these challenges, this study proposes a novel approach for forest fire …

… Therefore, in this study, based on the different deep learning models employed in … A
multi-modal wildfire prediction and early-warning system based on a novel machine learning …

… for other disasters such as forest fires, thus making the problem … In Reducing disaster: Early
warning systems for climate … What makes training multi-modal networks hard? CoRR, 2019. …

… a novel approach for fire detection that leverages machine … work is the incorporation of
multi-modal data, such as visual, … of real-world scenarios, such as forest fire detection, where early …

… In this project, a multi-modal wildfire prediction and personalized early warning system has
been developed based on an advanced machine learning architecture. Sensor data from the …