Hani Nassif

Orcid: 0000-0002-3441-3589

According to our database1, Hani Nassif authored at least 10 papers between 2008 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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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