Recent Publications Related to Solar Imaging

The complete list of our publications relating to applied imaging, computer vision and machine learning can be found here.

Journals

  • A Abed and R Qahwaji , "The automated prediction of solar flares from SDO images using deep learning", Advances in Space Research, 67 (8), pp 2544-2557, 2022
  • A Abed and R Qahwaji , "An application of the deep belief networks to the prediction of massive solar flare occurrence using SDO/HMI data", 2020 IEEE International Conference on Big Data (Big Data), pp 4165-4174, 2020
  • SH Park, KD Leka, et al , "A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-day Forecasting Patterns", The Astrophysical Journal 890 (2), 124, 2020
  • KD Leka, SH Park, et al, "A comparison of flare forecasting methods. II. Benchmarks, metrics, and performance results for operational solar flare forecasting systems", The Astrophysical Journal Supplement Series 243 (2), 36 20, 2019.
  • KD Leka, SH Park, et al, "A comparison of flare forecasting methods. III. Systematic behaviors of operational solar flare forecasting systems", The Astrophysical Journal 881 (2), 101, 2019.
  • AF Alasta, A Algamudi, R Qahwaji, S Ipson, A Hauchecorne, M Meftah, "New method of enhancement using wavelet transforms applied to SODISM telescope", Advances in Space Research 63 (1), 606-616, 2019.
  • T Nagem, R Qahwaji, S Ipson, A Alasta, "Predicting Solar Flares by Converting GOES X-ray Data to Gramian Angular Fields (GAF) Images", Proceedings of the World Congress on Engineering 1, 2018.
  • TAMH Nagem, R Qahwaji, S Ipson, "Deep learning teachology for the prediction of solar flares from GOES data", 2017 Computing Conference, 697-700.
  • T. Nagem, R. Qahwaji,S.Ipson, Z. Wang and A. Alwaisy, "Deep Learning Technology to Develop a computer system for predicting solar flares from (Geostationary Operational Environmental Satellite) Data", International Journal of Advanced Computer Science and Applications (IJACSA) In Press, 2018.
  • G Barnes, KD Leka, C Schrijver, T Colak, R Qahwaji et al , "A COMPARISON OF FLARE FORECASTING METHODS, I: RESULTS FROM THE “ALL-CLEAR” WORKSHOP",The Astrophysical Journal, 829 (2). 2016.
  • A García-Rigo, M Nunez, R Qahwaji, O Ashamari and O Jiggens, "Prediction and warning system of SEP events and solar ?ares for risk estimation in space launch operations", Journal of Space Weather and Space Climate, Impact Factor: 2.85, DOI: 10.1051/swsc/2016021, 6, A28 (2016)
  • Omar Ashamari, Rami Qahwaji, Stan Ipson, Micha Scholl, Omar Nibouche, and Margit Haberreiter, "Identification of photospheric activity features from SOHO/MDI data using the ASAP tool", SWSC, 2015
  • O. Ahmed, R. Qahwaji, T. Colak, P. Higgins. P. Gallagher and S. Bloomfield, "Solar Flare Prediction using Advanced Feature Extraction, Machine Learning, and Feature Selection", Solar Physics, Springer, 283 (1): 157-175, 2013.
  • C. Verbeeck, P. Higgins, T. Colak, T. Watson, V. Delouille, B. Mampaey, R. Qahwaji, "A Multi-wavelength Analysis of Active Regions and Sunspots by Comparison of Automatic Detection Algorithms", Solar Physics, 283 (1): 67-95, 2013.
  • T. Colak and R. Qahwaji, "Prediction of Extreme Ultraviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irradiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images Using Fuzzy Image Processing and Machine Learning", Solar Physics, 283 (1): 143-156, 2013.
  • Tsagour I and et al , "Progress in space weather modeling in an operational environment", Space Weather and Space Climate, 3, 2013.
  • T. Colak, R.Qahwaji, S. Ipson, H. Ugail, "Representation of Solar Features in 3D for Creating Visual Solar Catalogues", Advances in Space Research, 47(2): 2092-2104, 2011.
  • O. Ahmed , R. Qahwaji,T. Colak, T. Dudok de Wit and S. Ipson, "A New Technique for the Calculation and 3D Visualisation of Magnetic Complexities on Solar Satellite Images", Visual Computer, DOI: 10.1007/s00371-010-0418-1 , 26 (5): 385-395, 2010
  • M. Al-Omari, R. Qahwaji, T. Colak and S. Ipson, "Machine Learning-based Investigation of the Associations Between CMEs and Filaments", Solar Physics, DOI: 10.1007/s11207-010-9516-5 , 262 (2): 511, 2010.
  • T. Colak and R. Qahwaji, "ASAP: A Hybrid Computer Platform Using Machine Learning and Solar Imaging for Automated Prediction of Significant Solar Flares", Space Weather, 7, S06001, doi:10.1029/2008SW000401, 2009.
  • R. Qahwaji, T. Colak, M. Al-Omari and S. Ipson, "Automated Machine Learning-Based Prediction of CMEs Based on Flare Associations", Solar Physics, DOI: 10.1007/s11207-007-9108-1, 2008.
  • T. Colak and R. Qahwaji, "Automated McIntosh-based classification of sunspot groups using MDI images", Solar Physics, DOI: 10.1007/s11207-007-9094-3, 2008.
  • R. Qahwaji and T. Colak, "Automatic Short-Term Solar Flare Prediction Using Machine Learning And Sunspot Associations", Solar Physics,241,pp. 195-211, 2007.
  • T. Colak and R. Qahwaji, "Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations", Advances in Soft Computing, DOI 10.1007/978-3-540-70706-6, Springer, 39,pp. 316-324, 2007.
  • R. Qahwaji and T. Colak, "Hybrid Imaging and Neural Networks Techniques for Processing Solar Images", Journal of Computers and Their Applications, VOL. 13, No. 1, pp. 9-16, 2006.
  • R. Qahwaji and T. Colak, "Automatic Detection and Verification of Solar Features", International Journal of Imaging Systems Technology, Vol. 15, No. 4, pp. 199-210, 2005.

Books

  • R.Qahwaji, R. Green and E. Hines, "Applied Signal and Image Processing: Multidisciplinary Advancements", published by IGWE Global, R. Qahwaji, R. Green and H. Evor (eds.), 2011.
  • T. Colak, R.Qahwaji, "AUTOMATED PREDICTION OF SOLAR FLARES: Integrating Image Processing and Machine Learning for the Creation of a Hybrid Computer Platform that Provides Real-Time Prediction of Solar Flares", LAP LAMBERT ACADEMIC PUBLISHING, 2010.
  • O. Ahmed, R. Qahwaji, S. Ipson and T. Colak, "Enhanced Prediction of Solar Flares: Developing Automated Techniques for Active Region Feature Extraction -- to Enable the Efficient Prediction of Solar Flares", LAP LAMBERT ACADEMIC PUBLISHING, 2011.
  • M. Alomari, R. Qahwaji and S. Ipson, "Applied Machine Learning for Solar Data Processing", LAP LAMBERT ACADEMIC PUBLISHING, 2011.

Conferences and Presentaions

  • T. Colak, R. Qahwaji, O. Ahmad, and P. Higgins, "Automated Solar Flare Prediction: Is it a myth?", Presentation in European Space Weather week 7, Nov 2010.
  • T. Colak, R. Qahwaji, J. Zraqou, and S. Ipson, "3D Modeling and Solar Image Processing Algorithms Developed by Space Weather Research Team in University of Bradford", Presentation in Solar Image Processing Workshop V, Sep 2010.
  • O. Ahmed ,R. Qahwaji,T. Colak, and P. Higgins, "Large-scale Investigation of AR Properties with respect to Flaring Events", Presentation in Solar Image Processing Workshop V, Sep 2010.
  • T. Colak, R. Qahwaji, M. Alomari, "Automated CME and Solar Flare Prediction", Presentation in Solar Image Processing Workshop V, Sep 2010.
  • M. Alomari, R. Qahwaji, T. Colak, S. Ipson and C. Balch, "Next-Day Prediction of Sunspots Area and McIntosh Classifications using Hidden Markov Models", Accepted for publication at the International Conference in CyberWorlds (IEEE, ACM and Eurographics Sponsored) , Bradford, UK, Sep 2009.
  • O. Ahmed, R. Qahwaji,.T. Colak, T. Dudok De Wit and S. Ipson, "Calculate the Energy of Active Regions and Solar Disk on Satellite Images for Real-Time Solar Flare Forecasting", Accepted for publication at the International Conference in CyberWorlds (IEEE, ACM and Eurographics Sponsored) , Bradford, UK, Sep 2009.
  • T. Colak, R. Qahwaji, S.Ipson, and H. Ugail, "3D Modeling of Magnetic Field Lines using SOHO/MDI Magnetogram Images", IEEE conference on Recent Advances in Space Technologies, Istanbul, 2009, Accepted.
  • R. Qahwaji and T. Colak, "Prediction of Halloween Storm with Automated Solar Activity Prediction Tool (ASAP)", IEEE conference on Recent Advances in Space Technologies, Istanbul, 2009, Accepted.
  • R. Qahwaji, T. Colak, O. Ahmad, S. Ipson and T. Dudok de Wit, "Enhanced Prediction of Solar Flares by Studying the Magnetic Energies and Flaring Patterns", Accepted for presentaion at the 5th European Space Weather Week (ESWW5), Brussels, Belgium, 2008.
  • R. Qahwaji, M. Al-Omari, T. Colak and S. Ipson, "Computerised Representation of the Association between Solar Features and Activities using Radial Basis Functions", accepted for IASTED International Conference on Visualization, Imaging and Image Processing (VIIP 2008), Palma de Mallorca, Spain, 2008.
  • M. Al-Omari, R. Qahwaji, T. Colak and S. Ipson, "Support Vector Machines for Automated Knowledge Extraction from Historical Solar Data: A Practical Study on CME Predictions", accepted for IEEE Fifth International Multi-conference on Systems, Signals, and Devices , Amman, 2008.
  • O. Ahmed, R. Qahwaji, T. Colak, T. Dudok de Wit and S. Ipson, "New Method for Calculating Magnetic Energies in Satellite Images", accepted for IEEE Fifth International Multi-conference on Systems, Signals, and Devices , Amman, 2008.
  • T. Colak and R. Qahwaji, "ASAP: An automated hybrid computer platform for sunspot region classification and solar flare prediction", Poster presentation at Space weather Workshop, Colorado, 2008.
  • T. Colak and R. Qahwaji, "Hybrid Computer Platform for the Automated Prediction of Solar Flares", oral presentation for the SOHO 20 Conference: Transient Events on the Sun and in the Heliosphere, Ghent, August 2007.
  • R. Qahwaji and T. Colak, "Investigating the Association among Active Regions, Flares and CMEs using Machine Learning", poster presentation for the SOHO 20 Conference: Transient Events on the Sun and in the Heliosphere, Ghent, August 2007.
  • R. Qahwaji and T. Colak, "Large-Scale Numerical Analysis for the Prediction of Flares using Support Vector Machines and Neural Networks", poster presentation for the SOHO 20 Conference: Transient Events on the Sun and in the Heliosphere, Ghent, August 2007.
  • M. Al-Omari, R. Qahwaji, T. Colak, S. Ipson, "Morphological-Based Filtering of Noise: Practical Study on Solar Images", In Proc. IEEE International Conference on Signal Processing and Communication, pp. 1076-1078, ISBN 1-4244-1236-6, Dubai, UAE, 24-27 November, 2007.
  • R. Qahwaji and T. Colak, "Automatic Prediction of Solar Flares using Machine Learning: Practical Study on the Halloween Storm", IEEE conference on Recent Advances in Space Technologies, Istanbul, June 2007, pp: 739-742, ISBN: 1-4244-1057-6.
  • T. Colak and R. Qahwaji, "Automatic Sunspot Classification for Real-Time Forecasting of Solar Activities", IEEE conference on Recent Advances in Space Technologies, Istanbul, June 2007, pp: 733-738, ISBN: 1-4244-1057-6.
  • T. Colak and R. Qahwaji, "Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations", 11th Online World Conference on Soft Computing in Industrial Applications (WSC11), 2006.
  • R. Qahwaji and T. Colak, "Neural Network-Based Prediction of Solar Activities", 3rd International Conference on Cybernetics and Information Technologies, Systems and Applications, pp. 192-195, Florida, USA, July 2006.
  • R. Qahwaji and T. Colak, "Automated Prediction of Solar Flares using Machine Learning", Solar Image Processing Workshop III, Dublin, September 2006.
  • T. Colak and R. Qahwaji, "Automated McIntosh-based Classification of Sunspots", Solar Image Processing Workshop III, Dublin, September 2006.
  • R. Qahwaji, "Machine-Based Automatic Detection and Verification of Solar Features", International Conference on Telecomputing and Information Technology (IEEE ICTIT), pp. 87 - 91, Amman, Sep 2004.