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Session
Presentation | H33S: Monitoring, Prediction, and Mitigation of Harmful Algal Blooms (HABs) II Poster
Poster
H33S-1560: Machine learning framework for red tide monitoring in Charlotte Harbor, West Florida Shelf
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Schedule
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Notes
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Credits
Wed, Dec 17
Board 1560‚ Hall EFG (Poster Hall)
2:15pm - 5:45pm (Central)
NOLA CC
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Wei Mao
Florida State University
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Author(s):
Wei Mao
, Florida State University
(First Author, Presenting Author)
Elshall Ahmed S.
, Florida Gulf Coast University
Ming Ye
, Florida State University
Mewcha A. Gebremedhin
, Florida Gulf Coast University
Michael Parsons
, Florida Gulf Coast University
Charles Fleischer
, Florida State University
View Abstract
Scientific Discipline
Hydrology
Suggested Itineraries
Biochemistry
Disasters‚ Calamities and Extreme Events
Gulf Coast Region
Machine Learning and AI
Neighborhood
Earth Covering
Type
Poster
I Will Be at My Poster Time
View This Poster
Main Session
Poster
H33S: Monitoring, Prediction, and Mitigation of Harmful Algal Blooms (HABs) II Poster
2:15pm-5:45pm Dec 17 (Central)
Ebrahim Ahmadisharaf
Discussion
