Alqamah Sayeed
- ORCiD
- https://orcid.org/0000-0001-6898-8148
- OpenAlex ID
- https://openalex.org/A5035870471 (API record)
Associated Concepts [?]
- Physics
- Computer science
- Geography
- Artificial intelligence
- Meteorology
- Machine learning
- Environmental science
- Ecology
- Biology
- Air quality index
- Ozone
- Organic chemistry
- Convolutional neural network
- Chemistry
- Mathematics
- Geology
- Statistics
- Engineering
- Atmospheric sciences
- Artificial neural network
- Air pollution
- Deep learning
- Climatology
- CMAQ
- Thermodynamics
Authored Works
sorted by decreasing year, and then by display-name
- Global Hourly and Daily PM2.5 Estimations: A Data Fusion Approach
- Generating High-Resolution PM2.5 using a Two-stage Machine Learning Approach with Low-Cost Air Quality Sensors and Satellite Observations
- GOES-R PM2.5 Evaluation and Bias Correction - A Deep Learning Approach
Linked Co-Authors
Linked Collaborating Institutions
- Emory University, Georgia
- NASA Marshall Space Flight Center
- Research Triangle Institute, North Carolina
- U.S. Environmental Protection Agency, Research Triangle Park, North Carolina
- University of Alabama, Huntsville
- University of Alaska, Fairbanks, Geophysical Institute
- University of Houston, Texas
- University of Texas, Austin
Add Incoming Edge
Login via ORCiD to contribute.
Add Outgoing Edge
Login via ORCiD to contribute.