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Kristen Underwood
University of VermontMeeting roles in:
What Controls River Turbidity? Uncovering the Roles of Climate, Land Use, and Landscape Heterogeneity with a Deep Learning Model
Scalable Nested Deep Learning Framework for Real-Time Water Quality Forecasting Across Tributary Networks
Spatiotemporal Turbidity Prediction in River Systems using Graph Neural Networks
Enhancing Floodplain Representation in Network Flood Routing Models
Enhancing Large-Scale Flood Inundation Mapping through Process-Based Classification
Spatiotemporal Interrogation of Crop Yield Patterns to Identify Key Variables and Feature Interactions using a Tandem Evolutionary Algorithm
Leveraging Big Data and Big Models to Expand Process Understanding and Water Quality Predictions
Partnering Across Intelligences: Interdisciplinary Approaches to Water Quality and AI
Drivers and Confounding Factors Influencing Dissolved Organic Carbon and Nitrogen in Continental U.S. Streams
HydroGem: A Domain-Informed Foundation Model for Hydrological Anomaly Detection, Imputation, and Forecasting
Predicting Channel-Floodplain (Dis)connectivity and Fluvial Sediment Process Domains from High-Resolution Topography
Role of Impervious Surfaces, Erosion and Stream Sediment Supply Potential in Modulating Sediment Response and Hysteresis Pattern in Urban Streams Across the United States
Toward improved flood hazard mapping: Lessons from mountainous flood-prone settings
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