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Hani Nassif
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2020 – today
- 2024
- [j5]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Downscaling daily wind speed with Bayesian deep learning for climate monitoring. Int. J. Data Sci. Anal. 17(4): 411-424 (2024) - [j4]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. Knowl. Inf. Syst. 66(1): 613-633 (2024) - 2023
- [j3]Zhanhang Li, Jian Zhou
, Hani Nassif, David W. Coit, Jinwoo Bae:
Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction. Reliab. Eng. Syst. Saf. 232: 109078 (2023) - [j2]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data. World Sci. Annu. Rev. Artif. Intell. 1: 2250001:1-2250001:24 (2023) - [c4]Firas Gerges
Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. ICMLSC 2023: 102-109 - 2022
- [c3]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif
A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. ICMLSC 2022: 1-7 - [c2]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. PAKDD (3) 2022: 55-66 - [c1]Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Ankit Darekar, Hani Nassif, Jason T. L. Wang:
Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. ECML/PKDD (5) 2022: 565-580 - 2020
- [i2]Jingqin Gao, Abhinav Bhattacharyya, Ding Wang, Nick Hudanich, Siva Sooryaa, Muruga Thambiran, Suzana Duran Bernardes, Chaekuk Na, Fan Zuo, Zilin Bian, Kaan Ozbay, Shri Iyer, Hani Nassif, Joseph Y. J. Chow:
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles. CoRR abs/2009.14018 (2020) - [i1]Ding Wang, Fan Zuo, Jingqin Gao, Brian Yueshuai He, Zilin Bian, Suzana Duran Bernardes, Chaekuk Na, Jingxing Wang, John Petinos, Kaan Ozbay, Joseph Y. J. Chow, Shri Iyer, Hani Nassif, Xuegang (Jeff) Ban:
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19. CoRR abs/2010.09648 (2020)
2000 – 2009
- 2008
- [j1]Mayrai Gindy, Richard J. Vaccaro, Hani Nassif
A State-Space Approach for Deriving Bridge Displacement from Acceleration. Comput. Aided Civ. Infrastructure Eng. 23(4): 281-290 (2008)
Coauthor Index
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