Projects per year
Fingerprint
Dive into the research topics where Elie R. Bou-Zeid is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Meteorological Islands: How the Atmosphere Interacts with Large Individual Patches of Heterogeneity
NSF - National Science Foundation
8/15/21 → 7/31/24
Project: Research project
-
Understanding and predicting the complex wind, temperature, and concentration patterns over built surfaces
7/1/20 → 9/30/23
Project: Research project
-
PREEVENTS Track 2: Collaborative Research: SHADE: Surface Heat Assessment for Developed Environments
NSF - National Science Foundation
8/1/17 → 7/31/21
Project: Research project
-
Rapid Modifications of Land Surface Temperature During Rainfall: Basics and Implications
1/1/15 → 5/31/18
Project: Research project
-
A perspective on quantifying resilience: Combining community and infrastructure capitals
Gerges, F., Assaad, R. H., Nassif, H., Bou-Zeid, E. & Boufadel, M. C., Feb 10 2023, In: Science of the Total Environment. 859, 160187.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring
Gerges, F., Boufadel, M. C., Bou-Zeid, E., Darekar, A., Nassif, H. & Wang, J. T. L., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 565-580 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13717 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data
Gerges, F., Boufadel, M. C., Bou-Zeid, E., Nassif, H. & Wang, J. T. L., Jan 5 2023, ICMLSC 2023 - 2023 7th International Conference on Machine Learning and Soft Computing. Association for Computing Machinery, p. 102-109 8 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Downscaling daily wind speed with Bayesian deep learning for climate monitoring
Gerges, F., Boufadel, M. C., Bou-Zeid, E., Nassif, H. & Wang, J. T. L., 2023, (Accepted/In press) In: International Journal of Data Science and Analytics.Research output: Contribution to journal › Article › peer-review
-
Relaxed Eddy Accumulation Outperforms Monin-Obukhov Flux Models Under Non-Ideal Conditions
Zahn, E., Bou-Zeid, E. & Dias, N. L., Apr 16 2023, In: Geophysical Research Letters. 50, 7, e2023GL103099.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations