A Deep Recurrent Neural Network to Forecast the Intensity and Trajectory of Atlantic Tropical Storms

J1.6A A Deep Recurrent Neural Network to Forecast the Intensity and Trajectory of Atlantic Tropical Storms More Wednesday, 9 January 2019: 9:45 AM North 124B (Phoenix Convention Center – West and North Buildings) Hammad Usmani, Georgia Institute of Technology, Atlanta, GA Recorded Presentation The National Hurricane Center (NHC) and National Oceanic and Atmospheric Administration (NOAA)…

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A Deep Neural Network to Globally Forecast the Track and Intensity of Tropical Cyclones

Recorded PresentationRecording 11B.2: A Deep Neural Network to Globally Forecast the Track and Intensity of Tropical Cyclones Boston Convention and Exhibition Center – 156A Hammad Usmani Georgia Institute of TechnologyAtlanta, GA, USA Aadil Habibi Univ. of Central FloridaOrlando, FL, USA Daanish Habibi Univ. of Central FloridaOrlando, FL, USA Tropical cyclones are the most devastating weather…

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Voice of the Storm: MMS TTS for Global Weather Alerts

In the vanguard of meteorological innovation, ‘hurricane-tts‘ emerges as a monumental integration of advanced technologies, setting new standards in delivering critical storm alerts. At its core, the project harnesses the massively multilingual Text-to-Speech capabilities from Facebook AI Research (FAIR), transforming weather data into spoken word with unparalleled linguistic diversity. Coupled with the analytical prowess of…

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 Current and Potential Future Aftermath of Cyclone Freddy 

Cyclone Freddy was a very fierce, surprisingly chronic, high-octane, and lethal storm that made its way across the Southern part of the Indian Ocean for almost six weeks in March and February 2023. Satellite image of cyclone Freddy generated via Stability-AI What Determined the Intensity of Cyclone Freddy? To determine if Tropical Cyclone Freddy has…

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