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ORCIDYasser Abduallah
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2020 – today
- 2024
[j2]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Ju Jing:
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. J. Intell. Inf. Syst. 62(4): 887-903 (2024)- [c5]Yasser Abduallah, Vinay Ram Gazula
, Jason T. L. Wang:
An Interpretable Transformer Model for Operational Flare Forecasting. FLAIRS 2024 - [d37]Yasser Abduallah, Khalid A. Alobail, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing:
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. Zenodo, 2024
- [i9]Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing:
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. CoRR abs/2402.17196 (2024) - [i8]Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu:
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. CoRR abs/2403.18302 (2024) - 2023
- [d36]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Version v1.5. Zenodo, 2023 [all versions] - [d35]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version v1.2. Zenodo, 2023 [all versions] - [d34]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version v1.3. Zenodo, 2023 [all versions] - [d33]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version 3. Zenodo, 2023 [all versions] - [d32]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version 4. Zenodo, 2023 [all versions] - [d31]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu:
Operational prediction of solar flares using a transformer-based framework. Version 5. Zenodo, 2023 [all versions] - [d30]Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Yan Xu:
Operational Prediction of Solar Flares Using a Transformer-Based Framework. Version 6. Zenodo, 2023 [all versions] - [i7]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Shen Fan, Jialiang Li, Huseyin Cavus, Vasyl Yurchyshyn:
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models. CoRR abs/2312.01691 (2023) - 2022
- [c4]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. FLAIRS 2022 - [c3]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS 2022: 325-335 - [d29]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.2. Zenodo, 2022 [all versions] - [d28]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.3. Zenodo, 2022 [all versions] - [d27]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.4. Zenodo, 2022 [all versions] - [d26]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.4. Zenodo, 2022 [all versions] - [d25]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.4. Zenodo, 2022 [all versions] - [d24]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.4. Zenodo, 2022 [all versions] - [d23]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. Version v1.4. Zenodo, 2022 [all versions] - [d22]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Version v1.1. Zenodo, 2022 [all versions] - [d21]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Version v1.1. Zenodo, 2022 [all versions] - [d20]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Version v1.1. Zenodo, 2022 [all versions] - [d19]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Version v1.1. Zenodo, 2022 [all versions] - [d18]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. Version v1.1. Zenodo, 2022 [all versions] - [d17]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.3. Zenodo, 2022 [all versions] - [d16]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.5. Zenodo, 2022 [all versions] - [d15]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.6. Zenodo, 2022 [all versions] - [d14]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.6. Zenodo, 2022 [all versions] - [d13]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. Version v1.6. Zenodo, 2022 [all versions] - [d12]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Zenodo, 2022 - [d11]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Version v1.0. Zenodo, 2022 [all versions] - [d10]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Version v1.1. Zenodo, 2022 [all versions] - [d9]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. Version v1.1. Zenodo, 2022 [all versions] - [d8]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [d7]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [d6]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [d5]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting CME Arrival Time through Data Integration and Ensemble Learning. Version v.1.1. Zenodo, 2022 [all versions] - [i6]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. CoRR abs/2203.14393 (2022) - [i5]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
A Deep Learning Approach to Dst Index Prediction. CoRR abs/2205.02447 (2022) - [i4]Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang:
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR abs/2211.02278 (2022) - 2021
- [c2]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. FLAIRS 2021 - [d4]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Version v1.0.0. Zenodo, 2021 [all versions] - [d3]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Version v1.0.1. Zenodo, 2021 [all versions] - [d2]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Version v1.2. Zenodo, 2021 [all versions] - [d1]Yasser Abduallah, Jason T. L. Wang, Haimin Wang:
Predicting Solar Flares with Machine Learning. Version v1.3. Zenodo, 2021 [all versions] - [i3]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Deep Learning Based Reconstruction of Total Solar Irradiance. CoRR abs/2107.11042 (2021) - 2020
- [i2]Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang:
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. CoRR abs/2009.04238 (2020)
2010 – 2019
- 2019
- [j1]Yasser Abduallah, Jason T. L. Wang:
New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark. Int. J. Big Data Intell. 6(3/4): 153-162 (2019) - 2017
- [c1]Yasser Abduallah, Jason T. L. Wang:
A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark. DASC/PiCom/DataCom/CyberSciTech 2017: 1106-1113 - [i1]Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang:
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. CoRR abs/1704.06548 (2017)
Coauthor Index
aka: Jason T. L. Wang
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