Firas Gerges

Orcid: 0000-0003-0640-9782

According to our database1, Firas Gerges authored at least 17 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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
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
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.
Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.
Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.
Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.
Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.
Dataset, June, 2022

A Deep Learning Approach to Dst Index Prediction.
CoRR, 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

Early Prediction of Movie Success Using Machine Learning and Evolutionary Computation.
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.
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.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021
Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks.
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.
Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018


  Loading...