Women’s Contributions To Meteorological and Atmospheric Sciences Throughout Time

There is an effort to improve women’s ability to access technological advancements, knowledge, scientific literacy, and technology-related training, as well as to uplift the stature of female researchers and technologists at the international, national, and local levels. Ensuring all women have equitable access to scientific and technical knowledge is essential. The priority should be to…

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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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Tracking Hurricane Milton’s Landfall: Real-Time Global Storm Mapping 🌍

We are excited to present our interactive global storm tracking map, available at https://fluids.ai/map/. This platform is built to provide real-time tracking of global storms, including Hurricane Milton, a Category 5 storm that recently made landfall as a Category 3 storm near Florida’s west coast. Using advanced satellite imagery and data feeds, users can monitor…

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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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