Flood Forecasting Using Hybrid LSTM and GRU Models with Lag Time Preprocessing von Zhang, Yue, Zhou, Zimo, Van Griensven Thé, Jesse, Yang, Simon X., Gharabaghi, Bahram

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Dissolved Oxygen Forecasting for Lake Erie’s Central Basin Using Hybrid Long Short-Term Memory and Gated Recurrent Unit Networks von Pan, Daiwei, Zhang, Yue, Deng, Ying, Van Griensven Thé, Jesse, Yang, Simon X., Gharabaghi, Bahram

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Methodology for Mobile Toxics Deterministic Human Health Risk Assessment and Case Study von Munshed, Mohammad, Van Griensven Thé, Jesse, Fraser, Roydon

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Daily Streamflow Forecasting Using Networks of Real-Time Monitoring Stations and Hybrid Machine Learning Methods von Zhang, Yue, Zhou, Zimo, Deng, Ying, Pan, Daiwei, Van Griensven Thé, Jesse, Yang, Simon X., Gharabaghi, Bahram

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A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River von Oliveira Santos, Victor, Costa Rocha, Paulo Alexandre, Scott, John, Thé, Jesse Van Griensven, Gharabaghi, Bahram

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Extending Multi-Pathway Human Health Risk Assessment from Regional to Country-Wide—A Case Study on Kuwait von Munshed, Mohammad, Van Griensven Thé, Jesse, Fraser, Roydon, Matthews, Bryan, Ramadan, Ashraf

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Country-Wide Ecological Health Assessment Methodology for Air Toxics: Bridging Gaps in Ecosystem Impact Understanding and Policy Foundations von Munshed, Mohammad, Van Griensven Thé, Jesse, Fraser, Roydon, Matthews, Bryan, Elkamel, Ali

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New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting von Costa Rocha, Paulo Alexandre, Oliveira Santos, Victor, Van Griensven Thé, Jesse, Gharabaghi, Bahram

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Hourly road pavement surface temperature forecasting using deep learning models von Tabrizi, Sepideh Emami, Xiao, Kai, Van Griensven Thé, Jesse, Saad, Muhammad, Farghaly, Hani, Yang, Simon X., Gharabaghi, Bahram

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Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks von Oliveira Santos, Victor, Costa Rocha, Paulo Alexandre, Scott, John, Van Griensven Thé, Jesse, Gharabaghi, Bahram

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Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods von Oliveira Santos, Victor, Guimarães, Bruna Monallize Duarte Moura, Neto, Iran Eduardo Lima, de Souza Filho, Francisco de Assis, Costa Rocha, Paulo Alexandre, Thé, Jesse Van Griensven, Gharabaghi, Bahram

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SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models von Lowman, James, Zheng, Kelly Liu, Fraser, Roydon, The, Jesse Van Griensven, Valipour, Mojtaba

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SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models von Lowman, James, Kelly Liu Zheng, Fraser, Roydon, Jesse Van Griensven The, Valipour, Mojtaba

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