Lagrangian simulation of oil droplets transport due to regular waves. - Michel C. Boufadel; Kemei Du; Vikram Kaku; James Weaver (Environ. Model. Softw., 2007)

Modeling solute transport and transient seepage in a laboratory beach under tidal influence. - Michel C. Boufadel; Yuqiang Xia; Hailong Li (Environ. Model. Softw., 2011)

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (ICMLSC, 2022)

A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (PAKDD (3), 2022)

Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Ankit Darekar; Hani Nassif; Jason T. L. Wang (ECML/PKDD (5), 2022)

Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (ICMLSC, 2023)

Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (World Sci. Annu. Rev. Artif. Intell., 2023)

Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (Knowl. Inf. Syst., 2024)

Downscaling daily wind speed with Bayesian deep learning for climate monitoring. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (Int. J. Data Sci. Anal., 2024)