Hani Nassif

Orcid: 0000-0002-3441-3589

According to our database1, Hani Nassif authored at least 12 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2008
2010
2012
2014
2016
2018
2020
2022
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
A two-stage Weibull-gamma degradation model with distinct failure mechanism initiation and propagation stages.
Reliab. Eng. Syst. Saf., 2025

2024
Downscaling daily wind speed with Bayesian deep learning for climate monitoring.
Int. J. Data Sci. Anal., May, 2024

Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data.
Knowl. Inf. Syst., January, 2024

2023
Fusing physics-inferred information from stochastic model with machine learning approaches for degradation prediction.
Reliab. Eng. Syst. Saf., April, 2023

Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data.
World Sci. Annu. Rev. Artif. Intell., 2023

Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data.
Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

2022
Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change.
Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

2020
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19.
CoRR, 2020

Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles.
CoRR, 2020

2008
A State-Space Approach for Deriving Bridge Displacement from Acceleration.
Comput. Aided Civ. Infrastructure Eng., 2008


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