| Non-invasive solutions to identify distinctions between healthy and mild cognitive impairments participants EA Alharbi, JM Jones, A Alomainy IEEE Journal of Translational Engineering in Health and Medicine 10, 1-6, 2022 | 7 | 2022 |
| Machine Learning approach to Predict Cognitive Performance using HRV E Alharbi, A Alomainy 2022 2nd International Conference on Computing and Information Technology …, 2022 | 5 | 2022 |
| Clustering potential metaverse users with the use of a value-based framework: Exploiting perceptions and attitudes on the use and adoption of metaverse for bold propositions R Mirza, MD Lytras, O Alzamzami, L Al Khuzayem, H Alharbi, ... Telematics and Informatics 87, 102074, 2024 | 3 | 2024 |
| Detecting cognitive decline in early Alzheimer’s patients using wearable technologies E Alharbi, A Alomainy, JM Jones 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-4, 2020 | 3 | 2020 |
| A deep learning model predicts the presence of diverse cancer types using circulating tumor cells S Albaradei, N Alganmi, A Albaradie, E Alharbi, O Motwalli, MA Thafar, ... Scientific Reports 13 (1), 21114, 2023 | 1 | 2023 |
| Non-invasive Wearable Solutions to Identify Individuals with Mild Cognitive Impairments from Healthy Controls E Alharbi | | 2022 |
