Hani Nassif

13 papers Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A two-stage Weibull-gamma degradation model with distinct failure mechanism initiation and propagation stages.
Reliab. Eng. Syst. Saf.
Jian Zhou, Zhanhang Li, Hani Nassif, David W. Coit
2025 J jnl
Enhanced Corrosion Testing and Analysis for Steel Rebars in Reinforced Concrete Bridge Decks Based on Effective Pre-Cracking.
Qual. Reliab. Eng. Int.
Zhanhang Li, Jian Zhou, Hasan Al-nawadi, Hani Nassif, David W. Coit
2024 J jnl
Downscaling daily wind speed with Bayesian deep learning for climate monitoring.
Int. J. Data Sci. Anal.
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
2024 J jnl
Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data.
Knowl. Inf. Syst.
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
2023 J jnl
Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data.
World Sci. Annu. Rev. Artif. Intell.
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
2023 — conf
Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data.
ICMLSC
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
2023 J jnl
Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction.
Reliab. Eng. Syst. Saf.
Zhanhang Li, Jian Zhou, Hani Nassif, David W. Coit, Jinwoo Bae
2022 — conf
A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification.
PAKDD (3)
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
2022 — conf
A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change.
ICMLSC
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang
2022 — conf
Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring.
ECML/PKDD (5)
Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Ankit Darekar, Hani Nassif, Jason T. L. Wang
2020 J jnl
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19.
CoRR
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
2020 J jnl
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles.
CoRR
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
2008 J jnl
A State-Space Approach for Deriving Bridge Displacement from Acceleration.
Comput. Aided Civ. Infrastructure Eng.
Mayrai Gindy, Richard J. Vaccaro, Hani Nassif, Jana Velde