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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Data Archival & Backup for Emergency Preparedness

Introduction Simulations of emergency scenarios due to powerful artificial intelligence like AGI (Artificial General Intelligence) describe increased cyberattacks that elevate the risk of cloud data infrastructure. Our experimental specialty consists of deep learning models that forecast extreme weather events such as hurricanes so offline media like M-Disc stores our data as part of our disaster…

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2023 Atlantic Hurricane Season Predictions

               Prompt Used: A satellite image of the Atlantic Hurricane Caption: A Satellite Image Of Hurricane Generated Via DALL-E The 2022 hurricane season was cataclysmic and one of the most potent events to be ever recorded. The National Oceanic and Atmospheric Administration (NOAA) recorded a total of 14 storms, out of which 8 turned into…

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Unveiling the Fury of Hurricane Idalia: A Meteorological Marvel

Source Idalia, a Category 3 hurricane, made landfall with a relentless fury, submerging homes, transforming streets into rivers, and leaving a trail of destruction in its wake. As the Southeastern coastal states grappled with its aftermath, the unique path and sheer power of Hurricane Idalia challenged preconceived notions. They underscored the need for continued research…

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