Firas Gerges

According to our database, Firas Gerges authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data.

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang

Knowl. Inf. Syst., January, 2024

2023

Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data.

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang

World Sci. Annu. Rev. Artif. Intell., 2023

Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data.

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

2022

A Deep Learning Approach to Dst Index Prediction.

Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang

CoRR, 2022

Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring.

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Ankit Darekar, Hani Nassif, Jason T. L. Wang

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.

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Early Prediction of Movie Success Using Machine Learning and Evolutionary Computation.

Firas Gerges, Danielle A. Azar, Joseph Vybihal, Jason T. L. Wang

Proceedings of the 21st International Symposium on Communications and Information Technologies, 2022

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change.

Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang

Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks.

Firas Gerges, Frank Shih, Danielle Azar

Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

2018

Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles.

Firas Gerges, Germain Zouein, Danielle Azar

Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018