Using Deep Learning to Predict Wildfires with Feng Yan - #329
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Advancements in Wildfire Monitoring
This chapter explores the integration of satellite imagery and ground-level camera data in monitoring wildfires and predicting smoke dispersion. It highlights the limitations of traditional methods and discusses the development of a machine learning model for real-time smoke detection, along with challenges in data processing and model training. The chapter also introduces a new system designed to enhance cloud resource scalability during high-demand situations in urban areas.
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