| ECG monitoring systems: Review, architecture, processes, and key challenges MA Serhani, H T. El Kassabi, H Ismail, A Nujum Navaz Sensors 20 (6), 1796, 2020 | 314 | 2020 |
| AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine T Habuza, AN Navaz, F Hashim, F Alnajjar, N Zaki, MA Serhani, ... Informatics in Medicine Unlocked 24, 100596, 2021 | 81 | 2021 |
| Trends, technologies, and key challenges in smart and connected healthcare AN Navaz, MA Serhani, HT El Kassabi, N Al-Qirim, H Ismail Ieee Access 9, 74044-74067, 2021 | 77 | 2021 |
| An hybrid approach to quality evaluation across big data value chain MA Serhani, HT El Kassabi, I Taleb, A Nujum 2016 IEEE International Congress on Big Data (BigData Congress), 418-425, 2016 | 68 | 2016 |
| Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows MA Serhani, HT El-Kassabi, K Shuaib, AN Navaz, B Benatallah, ... Future Generation Computer Systems 108, 583-597, 2020 | 62 | 2020 |
| Resource-aware mobile-based health monitoring MM Masud, MA Serhani, AN Navaz IEEE journal of biomedical and health informatics 21 (2), 349-360, 2016 | 36 | 2016 |
| AI applications in robotics, precision medicine, and medical image analysis: an overview and future trends T Habuza, AN Navaz, F Hashim, F Alnajjar, N Zaki, MA Serhani, ... Inform. Med. Unlocked 24 (100596), 10.1016, 2021 | 24 | 2021 |
| New algorithms for processing time-series big EEG data within mobile health monitoring systems MA Serhani, M El Menshawy, A Benharref, S Harous, AN Navaz Computer methods and programs in biomedicine 149, 79-94, 2017 | 24 | 2017 |
| Towards an efficient and Energy-Aware mobile big health data architecture AN Navaz, MA Serhani, N Al-Qirim, M Gergely Computer methods and programs in biomedicine 166, 137-154, 2018 | 20 | 2018 |
| Facial image pre-processing and emotion classification: A deep learning approach AN Navaz, SM Adel, SS Mathew 2019 IEEE/ACS 16th International Conference on Computer Systems and …, 2019 | 16 | 2019 |
| Trust enforcement through self-adapting cloud workflow orchestration HT El-Kassabi, MA Serhani, R Dssouli, AN Navaz Future Generation Computer Systems 97, 462-481, 2019 | 15 | 2019 |
| The use of data mining techniques to predict mortality and length of stay in an ICU AN Navaz, E Mohammed, MA Serhani, N Zaki 2016 12th International Conference on Innovations in Information Technology …, 2016 | 12 | 2016 |
| ECG-based arrhythmia classification & clinical suggestions: An incremental approach of hyperparameter tuning MA Serhani, AN Navaz, H Al Ashwal, N Al Qirim Proceedings of the 13th International Conference on Intelligent Systems …, 2020 | 11 | 2020 |
| A novel patient similarity network (PSN) framework based on multi-model deep learning for precision medicine AN Navaz, H T. El-Kassabi, MA Serhani, A Oulhaj, K Khalil Journal of Personalized Medicine 12 (5), 768, 2022 | 10 | 2022 |
| Closing the loop from continuous M-health monitoring to fuzzy logic-based optimized recommendations A Benharref, MA Serhani, AR Nujum 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 10 | 2014 |
| Real time EEG compression for energy-aware continous mobile monitoring MA Serhani, M El Menshawy, A Benharref, AN Navaz 2015 27th International Conference on Microelectronics (ICM), 291-294, 2015 | 8 | 2015 |
| Real-time data streaming algorithms and processing technologies: a survey AN Navaz, S Harous, MA Serhani, I Taleb 2019 International Conference on Computational Intelligence and Knowledge …, 2019 | 7 | 2019 |
| Intelligent remote health monitoring using evident-based DSS for automated assistance MA Serhani, A Benharref, AR Nujum 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 7 | 2014 |
| Empowering Patient Similarity Networks through Innovative Data-Quality-Aware Federated Profiling AN Navaz, MA Serhani, HT El Kassabi, I Taleb Sensors 23 (14), 6443, 2023 | 5 | 2023 |
| An adaptive expert system for automated advices generation-based semi-continuous m-health monitoring MA Serhani, A Benharref, AR Nujum Brain Informatics and Health: International Conference, BIH 2014, Warsaw …, 2014 | 4 | 2014 |
Mohamed Adel SerhaniCollege of Computing and Informatics, University of SharjahZweryfikowany adres z sharjah.ac.ae