arXiv:2105.10880
공식 코드 · Papers with Code
RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US
원문 초록
Climate change has largely impacted our daily lives. As one of its consequences, we are experiencing more wildfires. In the year 2020, wildfires burned a record number of 8,888,297 acres in the US. To awaken people's attention to climate change, and to visualize the current risk of wildfires, We developed RtFPS, "Real-Time Fire Prediction System". It provides a real-time prediction visualization of wildfire risk at specific locations base on a Machine Learning model. It also provides interactive map features that show the historical wildfire events with environmental info.
함께 살펴볼 논문
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A Machine Learning Approach for Employee Retention Prediction
Earthquake magnitude prediction in Hindukush region using machine learning techniques
Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
Cautious Next Token Prediction
Where, What, Why: Towards Explainable Driver Attention Prediction
Out-of-Distribution Semantic Occupancy Prediction
토론
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