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2024 IEEE International Geoscience and Remote Sensing Symposium
“Acting for Sustainability and Resilience”
7 - 12 July, 2024 • Athens, Greece
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Technical Program
Session TU1.R4
Paper TU1.R4.4
TU1.R4.4
A deployment plan for an AI model to support coastal infrastructure damage assessment from a tropical storm
Jan Frýda, Mykhailo Naumenko, Jan Nusko, David Nikodém, EY, Czech Republic
Session:
TU1.R4: EY Open Science Data Challenge: Coastal Resilience
Oral
Track:
Community-Contributed Sessions
Location:
Conference Hall 1
Presentation Time:
Tue, 9 Jul, 09:42 - 09:56
Session Co-Chairs:
Brian Killough, EY and Borja Reguero, University of California, Santa Cruz
Presentation
Discussion
Resources
No resources available.
Session TU1.R4
TU1.R4.1: An Overview of the EY Open Science Data Challenge
Brian Killough, EY, United States
TU1.R4.2: COASTAL AREAS DEFENDER: STORM DAMAGE AI SOLUTION
Anhui Shi, Zekai Shi, China Unicom Research Institute, China
TU1.R4.3: A DISASTER RESPONSE MODEL FOR TROPICAL STORM DAMAGE DETECTION IN SATELLITE IMAGERY
Adrian Przybysz, Weronika Lipska, Łukasz Klein, Khaled Abo Shamleh, Ernst & Young, Poland
TU1.R4.4: A deployment plan for an AI model to support coastal infrastructure damage assessment from a tropical storm
Jan Frýda, Mykhailo Naumenko, Jan Nusko, David Nikodém, EY, Czech Republic
TU1.R4.5: COASTAL RESILIENCE PLANNING: HARNESSING DATA INSIGHTS TO ASSESS AND MITIGATE FUTURE TROPICAL CYCLONES IMPACTS IN VULNERABLE COASTAL COMMUNITIES
Francis Chong, Sylvia Moey, EY, Malaysia
TU1.R4.6: COASTLINE RESILIENCE: LEVERAGING SATELLITE IMAGERY AND THE CO-DETR MODEL FOR STORM DAMAGE ASSESSMENT
Erwin Deng, CentraleSupélec, France
TU1.R4.7: Next-Gen Coastal Protection: Leveraged AI Models for Improved Disaster Response and Planning
Ngai Sang Lau, Ka Fai Chan, King Hin Sin, The Hang Seng University of Hong Kong, Hong Kong SAR of China
Resources
No resources available.