Moujahid, H., Cherradi, B., Al-Sarem, M., Bahatti, L., Eljialy, A. B. A. M. Y., Alsaeedi, A., & Saeed, F. (2022). Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation. Intelligent Automation & Soft Computing, 32(2).
Bin Heyat, M. B., Akhtar, F., Abbas, S. J., Al-Sarem, M., Alqarafi, A., Stalin, A., ... & Wu, K. (2022). Wearable flexible electronics-based cardiac electrode for researcher mental stress detection system using machine learning models on single lead electrocardiogram signal. Biosensors, 12(6), 427.
Algarni, M., Saeed, F., Al-Hadhrami, T., Ghabban, F., & Al-Sarem, M. (2022). Deep learning-based approach for emotion recognition using electroencephalography (EEG) signals using bi-directional long short-term memory (Bi-LSTM). Sensors, 22(8), 2976.
El Gannour O, Hamida S, Cherradi B, Al-Sarem M, Raihani A, Saeed F, Hadwan M. Concatenation of Pre-Trained Convolutional Neural Networks for Enhanced COVID-19 Screening Using Transfer Learning Technique. Electronics. 2022; 11(1):103. https://doi.org/10.3390/electronics11010103.
Al-Sarem, M., Saeed, F., Boulila, W., Emara, A.H., Al-Mohaimeed, M., Errais, M. (2021). Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predicting Parkinson’s Disease. In: Saeed, F., Al-Hadhrami, T., Mohammed, F., Mohammed, E. (eds) Advances on Smart and Soft Computing. Advances in Intelligent Systems and Computing, vol 1188. Springer, Singapore. https://doi.org/10.1007/978-981-15-6048-4_17