ECG heartbeat classification using multimodal fusion Z Ahmad, A Tabassum, L Guan, NM Khan
IEEE Access 9, 100615-100626, 2021
119 2021 Human Action Recognition Using Deep Multilevel Multimodal ( ) Fusion of Depth and Inertial Sensors Z Ahmad, N Khan
IEEE Sensors Journal 20 (3), 1445-1455, 2019
62 2019 CNN-based multistage gated average fusion (MGAF) for human action recognition using depth and inertial sensors Z Ahmad, N Khan
IEEE Sensors Journal 21 (3), 3623-3634, 2020
49 2020 Inertial sensor data to image encoding for human action recognition Z Ahmad, N Khan
IEEE Sensors Journal 21 (9), 10978-10988, 2021
44 2021 A Survey on Physiological Signal Based Emotion Recognition Z Ahmad, N Khan
Bioengineering 9 (11), 688, 2022
39 2022 Multi-level stress assessment using multi-domain fusion of ECG signal Z Ahmad, NM Khan
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
32 2020 Human action recognition using convolutional neural network and depth sensor data Z Ahmad, K Illanko, N Khan, D Androutsos
Proceedings of the 2019 International Conference on Information Technology …, 2019
29 2019 Ecg heart-beat classification using multimodal image fusion Z Ahmad, A Tabassum, L Guan, N Khan
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
28 2021 Multidomain multimodal fusion for human action recognition using inertial sensors Z Ahmad, NM Khan
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 429-434, 2019
26 2019 Towards improved human action recognition using convolutional neural networks and multimodal fusion of depth and inertial sensor data Z Ahmad, N Khan
2018 IEEE International Symposium on Multimedia (ISM), 223-230, 2018
24 2018 Multilevel stress assessment from ECG in a virtual reality environment using multimodal fusion Z Ahmad, S Rabbani, MR Zafar, S Ishaque, S Krishnan, N Khan
IEEE Sensors Journal 23 (23), 29559-29570, 2023
18 2023 Stress management in clinical settings EW Biggs, L Brianna, JR Caguiat, NM Khan, NM Abraham, MR Zafar, ...
US Patent App. 16/663,223, 2021
3 2021