Yasser Abduallah

Vinay Ram Gazula

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Operational Prediction of Solar Flares Using a Transformer-Based Framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, November, 2023

Operational prediction of solar flares using a transformer-based framework.

[BibT_eX]

[DOI]

Dataset, July, 2023

Predicting Solar Flares with Machine Learning.

[BibT_eX]

[DOI]

Dataset, January, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

2022

Reconstruction of Total Solar Irradiance by Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Reconstruction of Total Solar Irradiance by Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Reconstruction of Total Solar Irradiance by Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Reconstruction of Total Solar Irradiance by Deep Learning.

[BibT_eX]

[DOI]

Dataset, December, 2022

Predicting CME Arrival Time through Data Integration and Ensemble Learning.

[BibT_eX]

[DOI]

Dataset, November, 2022

Predicting CME Arrival Time through Data Integration and Ensemble Learning.

[BibT_eX]

[DOI]

Dataset, November, 2022

Predicting CME Arrival Time through Data Integration and Ensemble Learning.

[BibT_eX]

[DOI]

Dataset, November, 2022

Predicting CME Arrival Time through Data Integration and Ensemble Learning.

[BibT_eX]

[DOI]

Dataset, November, 2022

A Transformer-Based Framework for Geomagnetic Activity Prediction.

[BibT_eX]

[DOI]

Dataset, September, 2022

A Transformer-Based Framework for Geomagnetic Activity Prediction.

[BibT_eX]

[DOI]

Dataset, September, 2022

A Transformer-Based Framework for Geomagnetic Activity Prediction.

[BibT_eX]

[DOI]

Dataset, September, 2022

Reconstruction of Total Solar Irradiance by Deep Learning.

[BibT_eX]

[DOI]

Dataset, August, 2022

Predicting Solar Flares with Machine Learning.

[BibT_eX]

[DOI]

Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, June, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

Dataset, June, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

A Deep Learning Approach to Dst Index Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

A Transformer-Based Framework for Geomagnetic Activity Prediction.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning.

[BibT_eX]

[DOI]

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

2021

Predicting Solar Flares with Machine Learning.

[BibT_eX]

[DOI]

Dataset, October, 2021

Predicting Solar Flares with Machine Learning.

[BibT_eX]

[DOI]

Dataset, October, 2021

Predicting Solar Flares with Machine Learning.

[BibT_eX]

[DOI]

Dataset, October, 2021

Predicting Solar Flares with Machine Learning.

[BibT_eX]

[DOI]

Dataset, October, 2021

Deep Learning Based Reconstruction of Total Solar Irradiance.

[BibT_eX]

[DOI]

CoRR, 2021

Reconstruction of Total Solar Irradiance by Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark.

[BibT_eX]

[DOI]

Miguel Cervantes-Cervantes

Int. J. Big Data Intell., 2019

2017

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

[BibT_eX]

[DOI]

CoRR, 2017

A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark.

[BibT_eX]

[DOI]