Jahangir Ali
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Biography and Research Information
OverviewAI-generated summary
Jahangir Ali's research focuses on the application of machine learning and artificial intelligence techniques to address complex scientific and societal challenges. His recent work includes developing deep learning models for temperature forecasting across the continental United States, utilizing multidimensional features to improve prediction accuracy. Ali has also investigated plausible precipitation trends in Pakistan's major river basins for the 21st century and explored the use of machine learning and image recognition for driver attention monitoring systems. His research network includes collaborations with Linyin Cheng at the University of Arkansas at Fayetteville, with whom he has co-authored publications. Ali has published 19 papers, accumulating 148 citations and an h-index of 5.
Metrics
- h-index: 5
- Publications: 19
- Citations: 148
Selected Publications
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Temperature forecasts for the continental United States: a deep learning approach using multidimensional features (2024)
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Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century (2022)
Collaboration Network
Top Collaborators
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Plausible Precipitation Trends over the Large River Basins of Pakistan in Twenty First Century
- Temperature forecasts for the continental United States: a deep learning approach using multidimensional features
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