2022
A Platform for Automated Solar Data Analysis Using Machine Learning (Conference Paper)
Younis, O., Tashtoush, Y., Alomari, M., & Darwish, O. (2022). A Platform for Automated Solar Data Analysis Using Machine Learning. In 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE. doi:10.1109/snams58071.2022.10062702DOI: 10.1109/snams58071.2022.10062702
2019
Younis, O., Al-Nuaimy, W., Rowe, F., & Alomari, M. H. (2019). A Smart Context-Aware Hazard Attention System to Help People with Peripheral Vision Loss. SENSORS, 19(7). doi:10.3390/s19071630DOI: 10.3390/s19071630
Alomari, M. H., Adeeb, J., & Younis, O. (2019). PVPF Tool: An Automated Web Application for Real-Time Photovoltaic Power Forecasting. International Journal of Electrical and Computer Engineering, 9(1), 34-41. doi:10.11591/ijece.v9i1.pp34-41DOI: 10.11591/ijece.v9i1.pp34-41
Younis, O., Al-Nuaimy, W., Alomari, M. H., & Rowe, F. (2019). A Hazard Detection and Tracking System for People with Peripheral Vision Loss using Smart Glasses and Augmented Reality. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 10(2), 1-9. Retrieved from https://www.webofscience.com/DOI: 10.14569/ijacsa.2019.0100201
2018
Younis, O., Al-Nuaimy, W., Rowe, F., & Alomari, M. H. (2018). Real-time Detection of Wearable Camera Motion Using Optical Flow. In 2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (pp. 238-243). Retrieved from https://www.webofscience.com/
Alomari, M. H., Adeeb, J., & Younis, O. (2018). Solar Photovoltaic Power Forecasting in Jordan using Artificial Neural Networks. International Journal of Electrical and Computer Engineering (IJECE), 8(1), 497. doi:10.11591/ijece.v8i1.pp497-504DOI: 10.11591/ijece.v8i1.pp497-504
Alomari, M. H., Younis, O., & Hayajneh, S. M. A. (2018). A Predictive Model for Solar Photovoltaic Power using the Levenberg-Marquardt and Bayesian Regularization Algorithms and Real-Time Weather Data. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 9(1), 347-353. Retrieved from https://www.webofscience.com/DOI: 10.14569/IJACSA.2018.090148
Hayajneh, S. M. A., Alomari, M. H., & Al-Shargabi, B. (2018). Cascades Neural Network based Segmentation of Fluorescence Microscopy Cell Nuclei. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 9(5), 275-285. Retrieved from https://www.webofscience.com/
2016
Wavelet estimation of THD based on Hilbert transform extraction (Journal article)
Awada, E. A., Alomari, M. H., & Radwan, E. (2016). Wavelet estimation of THD based on Hilbert transform extraction. International Journal of Applied Engineering Research, 11(9), 6451-6456.
2014
An Overview of Solar Cooling Technologies Markets Development and its Managerial Aspects (Conference Paper)
Baniyounes, A. M., Ghadi, Y. Y., Rasul, M. G., Alomari, M. H., & Manasreh, A. (2014). An Overview of Solar Cooling Technologies Markets Development and its Managerial Aspects. In INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014 Vol. 61 (pp. 1864-1869). doi:10.1016/j.egypro.2014.12.230DOI: 10.1016/j.egypro.2014.12.230
2013
Alomari, M. H., Samaha, A., & AlKamha, K. (2013). Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning. International Journal of Advanced Computer Science and Applications (ijacsa) 07/2013; 4(6):207-212. Retrieved from http://dx.doi.org/10.14569/IJACSA.2013.040628
Younis, O., Ghoul, S., & Alomari, M. H. (2013). Systems Variability Modeling: A Textual Model Mixing Class and Feature Concepts. International Journal of Computer Science & Information Technology (IJCSIT) Vol 5, No 5, October 2013. Retrieved from http://dx.doi.org/10.5121/ijcsit.2013.5509
Postat: A Cross-Platform, RSS-Based Advertising and Event Notification System for Educational Institutions (Conference Paper)
Alomari, M. H., Abusaimeh, H., Shahin, S., & Joudeh, R. (2013). Postat: A Cross-Platform, RSS-Based Advertising and Event Notification System for Educational Institutions. In PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO 2012) Vol. 73 (pp. 120-127). doi:10.1016/j.sbspro.2013.02.031DOI: 10.1016/j.sbspro.2013.02.031
Machine Learning-Based Investigation of the Associations between CMEs and Filaments (vol 262, pg 511, 2010) (Journal article)
Al-Omari, M., Qahwaji, R., Colak, T., & Ipson, S. (2013). Machine Learning-Based Investigation of the Associations between CMEs and Filaments (vol 262, pg 511, 2010). SOLAR PHYSICS, 282(1), 319. doi:10.1007/s11207-012-0163-xDOI: 10.1007/s11207-012-0163-x
2010
Machine Leaning-Based Investigation of the Associations between CMEs and Filaments (Journal article)
Al-Omari, M., Qahwaji, R., Colak, T., & Ipson, S. (2010). Machine Leaning-Based Investigation of the Associations between CMEs and Filaments. SOLAR PHYSICS, 262(2), 511-539. doi:10.1007/s11207-010-9516-5DOI: 10.1007/s11207-010-9516-5
2009
Next-Day Prediction of Sunspots Area and McIntosh Classifications using Hidden Markov Models (Conference Paper)
AL-Omari, M., Qahwaji, R., Colak, T., Ipson, S., & Balch, C. (2009). Next-Day Prediction of Sunspots Area and McIntosh Classifications using Hidden Markov Models. In 2009 INTERNATIONAL CONFERENCE ON CYBERWORLDS (pp. 253-+). doi:10.1109/CW.2009.10DOI: 10.1109/CW.2009.10
Alomari, M. H. (2009). Engineering System Design for Automated Space Weather Forecast. Designing Automatic Software Systems for the Large-Scale Analysis of Solar Data, Knowledge Extraction and the Prediction of Solar Activities Using Machine Learning Techniques.. (University of Bradford).
Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations (Chapter)
Qahwaji, R., Colak, T., Al-Omari, M., & Ipson, S. (2008). Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations. In Solar Image Analysis and Visualization (pp. 261-273). Springer New York. doi:10.1007/978-0-387-98154-3_19DOI: 10.1007/978-0-387-98154-3_19
2008
Using the real, gentle and modest AdaBoost learning algorithms to investigate the computerised associations between Coronal Mass Ejections and filaments (Conference Paper)
Qahwaji, R., Al-Omari, M., Colak, T., & Ipson, S. (2008). Using the real, gentle and modest AdaBoost learning algorithms to investigate the computerised associations between Coronal Mass Ejections and filaments. In 2008 Mosharaka International Conference on Communications, Computers and Applications. IEEE. doi:10.1109/miccca.2008.4669847DOI: 10.1109/miccca.2008.4669847
Computerised representations of the associations between solar features and activities using radial basis function networks (Conference Paper)
Qahwaji, R., Al-Omari, M., Colak, T., & Ipson, S. (2008). Computerised representations of the associations between solar features and activities using radial basis function networks. In Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008 (pp. 420-424).
Support Vector Machines for Automated Knowledge Extraction from Historical Solar Data: A Practical Study on CME Predictions (Conference Paper)
Al-Omari, M., Qahwaji, K., Colak, T., & Ipson, S. (2008). Support Vector Machines for Automated Knowledge Extraction from Historical Solar Data: A Practical Study on CME Predictions. In 2008 5TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES, VOLS 1 AND 2 (pp. 192-197). Retrieved from https://www.webofscience.com/
Automated prediction of CMEs using machine learning of CME - Flare associations (Conference Paper)
Qahwaji, R., Colak, T., Al-Omari, M., & Ipson, S. (2008). Automated prediction of CMEs using machine learning of CME - Flare associations. In SOLAR PHYSICS Vol. 248 (pp. 471-483). doi:10.1007/s11207-007-9108-1DOI: 10.1007/s11207-007-9108-1
2007
Morphological-Based Filtering of Noise: Practical Study on Solar Images (Conference Paper)
Al-Omari, M. H., Qahwaji, R., Colak, T., & Ipson, S. (2007). Morphological-Based Filtering of Noise: Practical Study on Solar Images. In ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS (pp. 1075-1078). Retrieved from https://www.webofscience.com/