M.C. Boufadel

First name

M.C.

Last name

Boufadel

Gerges, F., M.C. Boufadel, E. Bou-Zeid, H. Nassif, and J.T.L. Wang. 2024. “Long-Term Prediction of Daily Solar Irradiance Using Bayesian Deep Learning and Climate Simulation Data”. Knowledge and Information Systems 66: 613–633. doi:10.1007/s10115-023-01955-x.

Reference Link
Geng, X., F. Gerges, G.G. Katul, E. Bou-Zeid, H. Nassif, and M.C. Boufadel. 2021. “Population Agglomeration Is a Harbinger of the Spatial Complexity of COVID-19”. Chemical Engineering Journal 420. doi:10.1016/j.cej.2020.127702.

Reference Link
Gerges, F., M.C. Boufadel, E. Bou-Zeid, A. Darekar, H. Nassif, and J.T.L. Wang. 2023. “Bayesian Multi-Head Convolutional Neural Networks With Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring”. In , 13717 LNAI:565–580. doi:10.1007/978-3-031-26419-1_34.

Reference Link
Gerges, F., M.C. Boufadel, E. Bou-Zeid, H. Nassif, and J.T.L. Wang. 2022. “A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed With Uncertainty Quantification”. In , 13282 LNAI:55–66. doi:10.1007/978-3-031-05981-0_5.

Reference Link
Gerges, F., M.C. Boufadel, E. Bou-Zeid, H. Nassif, and J.T.L. Wang. 2023. “Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data”. In , 102–109. doi:10.1145/3583788.3583803.

Reference Link
Gerges, F., R.H. Assaad, H. Nassif, E. Bou-Zeid, and M.C. Boufadel. 2023. “A Perspective on Quantifying Resilience: Combining Community and Infrastructure Capitals”. Science of the Total Environment 859. doi:10.1016/j.scitotenv.2022.160187.

Reference Link
Gerges, F., M.C. Boufadel, E. Bou-Zeid, H. Nassif, and J.T.L. Wang. 2023. “Downscaling Daily Wind Speed With Bayesian Deep Learning for Climate Monitoring”. International Journal of Data Science and Analytics. doi:10.1007/s41060-023-00397-6.

Reference Link
Geng, X., G.G. Katul, F. Gerges, E. Bou-Zeid, H. Nassif, and M.C. Boufadel. 2021. “A Kernel-Modulated SIR Model for Covid-19 Contagious Spread from County to Continent”. Proceedings of the National Academy of Sciences of the United States of America 118. doi:10.1073/pnas.2023321118.

Reference Link
Gerges, F., M.C. Boufadel, E. Bou-Zeid, H. Nassif, and J.T. Wang. 2022. “A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change”. In , 1–7. doi:10.1145/3523150.3523151.

Reference Link