| Classifying obstructive sleep apnea using smartphones M Al-Mardini, F Aloul, A Sagahyroon, L Al-Husseini Journal of biomedical informatics 52, 251-259, 2014 | 122 | 2014 |
| A remote healthcare monitoring framework for diabetes prediction using machine learning J Ramesh, R Aburukba, A Sagahyroon Healthcare Technology Letters 8 (3), 45-57, 2021 | 106 | 2021 |
| Sleep apnea monitoring using mobile phones S Alqassim, M Ganesh, S Khoja, M Zaidi, F Aloul, A Sagahyroon 2012 IEEE 14th International Conference on e-Health Networking, Applications …, 2012 | 86 | 2012 |
| Development of a monitoring and control platform for PLC-based applications S Da'na, A Sagahyroon, A Elrayes, AR Al-Ali, R Al-Aydi Computer Standards & Interfaces 30 (3), 157-166, 2008 | 80 | 2008 |
| Security of mobile health (mHealth) systems F Zubaydi, A Saleh, F Aloul, A Sagahyroon 2015 IEEE 15th international conference on bioinformatics and bioengineering …, 2015 | 73 | 2015 |
| FPGA-based parallel hardware architecture for real-time image classification M Qasaimeh, A Sagahyroon, T Shanableh IEEE Transactions on Computational Imaging 1 (1), 56-70, 2015 | 73 | 2015 |
| Role of FPGA in internet of things applications M Elnawawy, A Farhan, A Al Nabulsi, AR Al-Ali, A Sagahyroon 2019 IEEE International Symposium on Signal Processing and Information …, 2019 | 50 | 2019 |
| A fuzzy logic–based warning system for patients classification JA Al-Dmour, A Sagahyroon, AR Al-Ali, S Abusnana Health informatics journal 25 (3), 1004-1024, 2019 | 48 | 2019 |
| FPGA-based network traffic classification using machine learning M Elnawawy, A Sagahyroon, T Shanableh IEEE Access 8, 175637-175650, 2020 | 46 | 2020 |
| A machine learning approach to predicting diabetes complications Y Jian, M Pasquier, A Sagahyroon, F Aloul Healthcare 9 (12), 1712, 2021 | 45 | 2021 |
| MobSpiro: Mobile based spirometry for detecting COPD F Zubaydi, A Sagahyroon, F Aloul, H Mir 2017 IEEE 7th Annual Computing and Communication Workshop and Conference …, 2017 | 42 | 2017 |
| Atrial fibrillation classification with smart wearables using short-term heart rate variability and deep convolutional neural networks J Ramesh, Z Solatidehkordi, R Aburukba, A Sagahyroon Sensors 21 (21), 7233, 2021 | 41 | 2021 |
| Design and implementation of a wearable healthcare monitoring system A Sagahyroon, H Raddy, A Ghazy, U Suleman International journal of electronic healthcare 5 (1), 68-86, 2009 | 40 | 2009 |
| Power consumption in handheld computers A Sagahyroon APCCAS 2006-2006 IEEE Asia Pacific Conference on Circuits and Systems, 1721-1724, 2006 | 37 | 2006 |
| Towards validating the effectiveness of obstructive sleep apnea classification from electronic health records using machine learning J Ramesh, N Keeran, A Sagahyroon, F Aloul Healthcare 9 (11), 1450, 2021 | 36 | 2021 |
| ParkNosis: Diagnosing Parkinson's disease using mobile phones A Sahyoun, K Chehab, O Al-Madani, F Aloul, A Sagahyroon 2016 IEEE 18th International Conference on e-Health Networking, Applications …, 2016 | 36 | 2016 |
| Optimizing complex cluster formation in MANETs using SAT/ILP techniques SZH Zahidi, F Aloul, A Sagahyroon, W El-Hajj IEEE sensors journal 13 (6), 2400-2412, 2013 | 33 | 2013 |
| Two-dimensional rotation of chaotic attractors: Demonstrative examples and FPGA realization WS Sayed, AG Radwan, M Elnawawy, H Orabi, A Sagahyroon, F Aloul, ... Circuits, Systems, and Signal Processing 38, 4890-4903, 2019 | 28 | 2019 |
| Using SAT-based techniques in power estimation A Sagahyroon, FA Aloul Microelectronics Journal 38 (6-7), 706-715, 2007 | 28 | 2007 |
| FPGA implementation of a chaotic oscillator with odd/even symmetry and its application MF Tolba, AS Elwakil, H Orabi, M Elnawawy, F Aloul, A Sagahyroon, ... Integration 72, 163-170, 2020 | 21 | 2020 |
