| Performance evaluation of deep CNN-based crack detection and localization techniques for concrete structures L Ali, F Alnajjar, HA Jassmi, M Gocho, W Khan, MA Serhani Sensors 21 (5), 1688, 2021 | 207 | 2021 |
| Unobtrusive activity recognition of elderly people living alone using anonymous binary sensors and DCNN M Gochoo, TH Tan, SH Liu, FR Jean, FS Alnajjar, SC Huang IEEE journal of biomedical and health informatics 23 (2), 693-702, 2018 | 141 | 2018 |
| Exoskeletons with virtual reality, augmented reality, and gamification for stroke patients’ rehabilitation: systematic review O Mubin, F Alnajjar, N Jishtu, B Alsinglawi, A Al Mahmud JMIR rehabilitation and assistive technologies 6 (2), e12010, 2019 | 125 | 2019 |
| Novel IoT-based privacy-preserving yoga posture recognition system using low-resolution infrared sensors and deep learning M Gochoo, TH Tan, SC Huang, T Batjargal, JW Hsieh, FS Alnajjar, ... IEEE Internet of Things Journal 6 (4), 7192-7200, 2019 | 103 | 2019 |
| Large-Scale 3D printing: The way forward H Al Jassmi, F Al Najjar, AHI Mourad IOP Conference Series: Materials Science and Engineering 324, 012088, 2018 | 93 | 2018 |
| Technology, privacy, and user opinions of COVID-19 mobile apps for contact tracing: Systematic search and content analysis M Elkhodr, O Mubin, Z Iftikhar, M Masood, B Alsinglawi, S Shahid, ... Journal of medical Internet research 23 (2), e23467, 2021 | 82 | 2021 |
| An explainable machine learning framework for lung cancer hospital length of stay prediction B Alsinglawi, O Alshari, M Alorjani, O Mubin, F Alnajjar, M Novoa, ... Scientific reports 12 (1), 607, 2022 | 78 | 2022 |
| Muscle synergy stability and human balance maintenance T Wojtara, F Alnajjar, S Shimoda, H Kimura Journal of neuroengineering and rehabilitation 11, 1-9, 2014 | 77 | 2014 |
| Implementing FDM 3D printing strategies using natural fibers to produce biomass composite W Ahmed, F Alnajjar, E Zaneldin, AH Al-Marzouqi, M Gochoo, S Khalid Materials 13 (18), 4065, 2020 | 74 | 2020 |
| Advances in neuroprosthetic management of foot drop: a review J Gil-Castillo, F Alnajjar, A Koutsou, D Torricelli, JC Moreno Journal of neuroengineering and rehabilitation 17, 1-19, 2020 | 65 | 2020 |
| Muscle synergy space: learning model to create an optimal muscle synergy F Alnajjar, T Wojtara, H Kimura, S Shimoda Frontiers in computational neuroscience 7, 136, 2013 | 60 | 2013 |
| Exploring serious games for stroke rehabilitation: a scoping review O Mubin, F Alnajjar, A Al Mahmud, N Jishtu, B Alsinglawi Disability and Rehabilitation: Assistive Technology 17 (2), 159-165, 2022 | 59 | 2022 |
| Temporal Features of Muscle Synergies in Sit-to-stand Motion Reflect the Motor Impairment of Post-Stroke Patients HA N. Yang, Q. An, H. Kogami, H. Yamakawa, Y. Tamura, K. Takahashi, M ... IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019 | 54 | 2019 |
| 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 | 51 | 2021 |
| Sensory synergy as environmental input integration F Alnajjar, M Itkonen, V Berenz, M Tournier, C Nagai, S Shimoda Frontiers in neuroscience 8, 92093, 2015 | 47 | 2015 |
| Personalized robot interventions for autistic children: an automated methodology for attention assessment F Alnajjar, M Cappuccio, A Renawi, O Mubin, CK Loo International Journal of Social Robotics 13, 67-82, 2021 | 44 | 2021 |
| Robots, AI, and cognitive training in an era of mass age-related cognitive decline: a systematic review AA Vogan, F Alnajjar, M Gochoo, S Khalid IEEE Access 8, 18284-18304, 2020 | 44 | 2020 |
| Artificial intelligence in education and assessment methods B Al Braiki, S Harous, N Zaki, F Alnajjar Bulletin of Electrical Engineering and Informatics 9 (5), 1998-2007, 2020 | 43 | 2020 |
| Emerging cognitive intervention technologies to meet the needs of an aging population: a systematic review F Alnajjar, S Khalid, AA Vogan, S Shimoda, R Nouchi, R Kawashima Frontiers in Aging Neuroscience 11, 291, 2019 | 41 | 2019 |
| Predicting length of stay for cardiovascular hospitalizations in the intensive care unit: Machine learning approach B Alsinglawi, F Alnajjar, O Mubin, M Novoa, M Alorjani, O Karajeh, ... 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 39 | 2020 |
Munkhjargal Gochoo (Moyo)Associate Professor, United Arab Emirates University在 uaeu.ac.ae 的电子邮件经过验证
