Joint Session 52 Artificial Intelligence Applications in the Coastal Environment

Wednesday, 15 January 2020: 3:00 PM-4:00 PM
156A (Boston Convention and Exhibition Center)
Hosts: (Joint between the 19th Conference on Artificial Intelligence for Environmental Science; the 18th Symposium on the Coastal Environment; and the Events )
Cochairs:
Philipe Tissot, Texas A&M University-Corpus Christi, Conrad Blucher Institute, Corpus Christi, TX and Michael J. Starek, Texas A&M University−Corpus Christi, Department of Computing Sciences-Conrad Blucher Institute, Corpus Christi, TX

Focus on applications of artificial intelligence and machine learning in the coastal environment such as oceanic, atmospheric and air-sea interactions modeling, beach and marsh dynamic, identification of coastal environments from imagery, digital elevation models for the coastal zone, ...

Papers:
3:00 PM
J52.1
Machine Learning Approaches for the Quality Control of Tide Gauge Observations
Gregory Dusek, NOAA, Silver Spring, MD; and P. Tissot, A. Pruessner, V. Soika, and G. Story
Recorded Presentation

3:15 PM
J52.2
Applications of Artificial Neural Network in Predicting Water Quality Indicators: Case Studies from Korean Coastal Waters
Jongseong Ryu, Anyang Univ., Ganghwa-gun, Korea, Republic of (South); and Y. H. Kim, H. C. Kim, S. Son, and M. Lee
Recorded Presentation

3:30 PM
J52.3
Machine Learning Classification of Flood Waters from Hurricanes Harvey and Florence as Captured by Synthetic Aperture Radar and Optical Remote Sensing
A. L. Molthan, MSFC, Huntsville, AL; and A. Melancon, J. R. Bell, L. A. Schultz, and E. Gebremichael
Recorded Presentation

3:45 PM
J52.4
Suggesting an Efficient Deep Learning Architecture for Coastal Wetland Land Cover Mapping with UAS Imagery
Mohammad Pashaei, Texas A&M Univ.-Corpus Christi, Corpus Christi, TX; and H. Kamangir, M. J. Starek, P. Tissot, and S. A. King
Recorded Presentation

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 19th Conference on Artificial Intelligence for Environmental Science
<< Previous Session | Next Session >>