Yasser Abduallah

Orcid: 0000-0003-0792-2270

According to our database1, Yasser Abduallah authored at least 14 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network.
CoRR, 2024

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
CoRR, 2024

2023
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models.
CoRR, 2023

2022
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data.
CoRR, 2022

A Deep Learning Approach to Dst Index Prediction.
CoRR, 2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
CoRR, 2022

A Transformer-Based Framework for Geomagnetic Activity Prediction.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 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
Deep Learning Based Reconstruction of Total Solar Irradiance.
CoRR, 2021

Reconstruction of Total Solar Irradiance by Deep Learning.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction.
CoRR, 2020

2019
New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark.
Int. J. Big Data Intell., 2019

2017
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach.
CoRR, 2017

A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017


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