| A robust human activity recognition system using smartphone sensors and deep learning MM Hassan, MZ Uddin, A Mohamed, A Almogren Future Generation Computer Systems 81, 307-313, 2018 | 672 | 2018 |
| Human emotion recognition using deep belief network architecture MM Hassan, MGR Alam, MZ Uddin, S Huda, A Almogren, G Fortino Information Fusion 51, 10-18, 2019 | 285 | 2019 |
| Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home A Jalal, MZ Uddin, TS Kim IEEE Transactions on Consumer Electronics 58 (3), 863-871, 2012 | 242 | 2012 |
| Autonomic computation offloading in mobile edge for IoT applications MGR Alam, MM Hassan, MZI Uddin, A Almogren, G Fortino Future Generation Computer Systems 90, 149-157, 2019 | 222 | 2019 |
| A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system MZ Uddin Journal of Parallel and Distributed Computing 123, 46-53, 2019 | 194 | 2019 |
| A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare MZ Uddin, MM Hassan, A Alsanad, C Savaglio Information Fusion 55, 105-115, 2020 | 172 | 2020 |
| Ambient sensors for elderly care and independent living: a survey MZ Uddin, W Khaksar, J Torresen Sensors 18 (7), 2027, 2018 | 164 | 2018 |
| Facial expression recognition utilizing local direction-based robust features and deep belief network MZ Uddin, MM Hassan, A Almogren, A Alamri, M Alrubaian, G Fortino IEEE Access 5, 4525-4536, 2017 | 143 | 2017 |
| Recognition of human home activities via depth silhouettes and ℜ transformation for smart homes A Jalal, MZ Uddin, JT Kim, TS Kim Indoor and Built Environment 21 (1), 184-190, 2012 | 129 | 2012 |
| An enhanced independent component-based human facial expression recognition from video MZ Uddin, JJ Lee, TS Kim IEEE Transactions on Consumer Electronics 55 (4), 2216-2224, 2009 | 125 | 2009 |
| Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography MN Islam, M Hasan, MK Hossain, MGR Alam, MZ Uddin, A Soylu Scientific Reports 12 (1), 1-14, 2022 | 108 | 2022 |
| Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor MA Khatun, MA Yousuf, S Ahmed, MZ Uddin, SA Alyami, S Al-Ashhab, ... IEEE Journal of Translational Engineering in Health and Medicine 10, 1-16, 2022 | 108 | 2022 |
| Activity recognition for cognitive assistance using body sensors data and deep convolutional neural network MZ Uddin, MM Hassan IEEE Sensors Journal 19 (19), 8413-8419, 2018 | 104 | 2018 |
| Human activity recognition from body sensor data using deep learning MM Hassan, S Huda, MZ Uddin, A Almogren, M Alrubaian Journal of medical systems 42, 1-8, 2018 | 104 | 2018 |
| A facial expression recognition system using robust face features from depth videos and deep learning MZ Uddin, MM Hassan, A Almogren, M Zuair, G Fortino, J Torresen Computers & Electrical Engineering 63, 114-125, 2017 | 97 | 2017 |
| Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning MZ Uddin, A Soylu Scientific Reports 11 (1), 16455, 2021 | 96 | 2021 |
| Deep learning for prediction of depressive symptoms in a large textual dataset MZ Uddin, KK Dysthe, A Følstad, PB Brandtzaeg Neural Computing and Applications 34 (1), 721-744, 2022 | 93 | 2022 |
| A robust human activity recognition approach using openpose, motion features, and deep recurrent neural network FM Noori, B Wallace, MZ Uddin, J Torresen Scandinavian conference on image analysis, 299-310, 2019 | 87 | 2019 |
| A depth camera-based human activity recognition via deep learning recurrent neural network for health and social care services SU Park, JH Park, MA Al-Masni, MA Al-Antari, MZ Uddin, TS Kim Procedia Computer Science 100, 78-84, 2016 | 87 | 2016 |
| Facial expression recognition using salient features and convolutional neural network MZ Uddin, W Khaksar, J Torresen IEEE Access 5, 26146-26161, 2017 | 84 | 2017 |
Tae-Seong Kim, Ph.D.Professor of Biomedical Engineering, Kyung Hee University在 khu.ac.kr 的电子邮件经过验证
