M. Deramgozin, S. Jovanovic, H. Rabah and N. Ramzan, "A Hybrid Explainable AI Framework Applied to Global and Local Facial Expression Recognition," 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, pp. 1-5, doi: 10.1109/IST50367.2021.9651357.

A. R. Ismail, S. Jovanovic, N. Ramzan and H. Rabah, "ECG Signal Classification Using Temporal Convolutional Network," 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 2022, pp. 1-4, doi: 10.1109/ICECS202256217.2022.9970944.

A. Zemouri, A. R. Ismail, S. Jovanovic and H. Rabah, "Embedded 1D Convolutional Network based ECG Classification Platform for Remote Health Monitoring," 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Istanbul, Turkiye, 2023, pp. 1-4, doi: 10.1109/ICECS58634.2023.10382837.

M. M. Deramgozin, S. Jovanovic, N. Ramzan and H. Rabah, "Lightweight Attention-Based CNN on Embedded Systems for Emotion Recognition," 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Istanbul, Turkiye, 2023, pp. 1-4, doi: 10.1109/ICECS58634.2023.10382796.

Vaneeza Kiyani, Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, A Comparative study of Machine Learning Techniques for Maternal Health prediction to reduce the Women Health Risks during Pregnancy, International Conference on Computing Research ICCoR22, CUST, Islamabad.

Razzaq, N., Masood, N., Nawaz, S., Anjum, N., & Ramzan, N. (2022, October). Stroke prediction in elderly persons using remote health monitoring. In 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) (pp. 1-4). IEEE.

Ashfaq, A., Anjum, N., Ahmed, S., & Masood, N. (2022, December). Hybrid Deep Learning model for ECG-based Arrhythmia Detection. In 2022 International Conference on Frontiers of Information Technology (FIT) (pp. 278-283). IEEE.

Ismail, Ali Rida, Slavisa Jovanovic, Naeem Ramzan, and Hassan Rabah. (2023). "ECG Classification Using an Optimal Temporal Convolutional Network for Remote Health Monitoring" Sensors 23, no. 3: 1697. https://doi.org/10.3390/s23031697

Get Full Article: https://pubmed.ncbi.nlm.nih.gov/36772737/

M. M. Deramgozin, S. Jovanovic, M. Arevalillo-Herráez, N. Ramzan and H. Rabah, (2023). "Attention-Enabled Lightweight Neural Network Architecture for Detection of Action Unit Activation," in IEEE Access, vol. 11, pp. 117954-117970, 2023, doi: 10.1109/ACCESS.2023.3325034. 

Get Full Article: https://hal.univ-lorraine.fr/IJL-406/hal-04451576v1

Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, Naeem Ramzan. (2023). Cost Optimization in Cloud Environment based on Task Deadline. Journal of Cloud Computing, 12(9): 1-18. 

Get Full Article: https://journalofcloudcomputing.springeropen.com/articles/10.1186/s13677-022-00370-x

Ahmad Hassan, Saima Gulzar Ahmad, Ehsan Ullah Munir, Imtiaz Ali Khan, Naeem Ramzan, (2024). "Predictive modelling and identification of key risk factors for stroke using machine learning", Scientific Reports, 14:11498.

Get full Article: https://www.nature.com/articles/s41598-024-61665-4

Ahmed, S., Irfan, S., Kiran, N., Masood, N., Anjum, N., & Ramzan, N. (2023). Remote health monitoring systems for elderly people: a survey. Sensors, 23(16), 7095.

Get Full Article: https://www.mdpi.com/1424-8220/23/16/7095

Irfan, S., Anjum, N., Althobaiti, T., Alotaibi, A. A., Siddiqui, A. B., & Ramzan, N. (2022). "Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique". Sensors, 22(15), 5606.

Get full Article: https://www.mdpi.com/1424-8220/22/15/5606

Gulzar Ahmad, Saima, Tassawar Iqbal, Anam Javaid, Ehsan Ullah Munir, Nasira Kirn, Sana Ullah Jan, and Naeem Ramzan. (2022). "Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review" Sensors 22, no. 12: 4362. https://doi.org/10.3390/s22124362

Get Full Article: https://www.mdpi.com/1424-8220/22/12/4362

Irfan, Saad, Nadeem Anjum, Nayyer Masood, Ahmad S. Khattak, and Naeem Ramzan. (2021). "A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities" Sensors 21, no. 24: 8227. https://doi.org/10.3390/s21248227

Get Full Article: https://www.mdpi.com/1424-8220/21/24/8227