| Predicting hypertensive patients with higher risk of developing vascular events using heart rate variability and machine learning M Alkhodari, DK Islayem, FA Alskafi, AH Khandoker IEEE Access 8, 192727-192739, 2020 | 34 | 2020 |
| Steroid hormones in wastewater: Sources, treatments, environmental risks, and regulations B Almazrouei, D Islayem, F Alskafi, MK Catacutan, R Amna, S Nasrat, ... Emerging Contaminants 9 (2), 100210, 2023 | 24 | 2023 |
| A Comparative Study of Arousal and Valence Dimensional Variations for Emotion Recognition Using Peripheral Physiological Signals Acquired from Wearable Sensors FA Alskafi, AH Khandoker, HF Jelinek 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 8 | 2021 |
| Brain-Heart Interactions Modulate EEG Activity During Elicited Emotional States FA Alskafi, AH Khandoker, F Marzbanrad, HF Jelinek 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| EEG-based Emotion Recognition Using Sub-Band Time-Delay Correlations FA Alskafi, AH Khandoker, F Marzbanrad, HF Jelinek 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Quantifying Brain Connectivity During Restricted Knee Movement R Katmah, FA Alskafi, F Abuhantash, S Nasrat, AA Hulleck, F Al-Ani, ... International Symposium on Computer Methods in Biomechanics and Biomedical …, 2023 | | 2023 |
| Multimodal Analysis of Physiological Signals for Wearable-Based Emotion Recognition Using Machine Learning FA Alskafi, AH Khandoker, U Lee, CY Park, HF Jelinek 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | | 2022 |
| Effect of Arousal and Valence Dimensional Variation on Emotion Recognition Using Peripheral Physiological Signals Acquired from Wearable Sensors FA Alskafi | | 2021 |
