| Colocalized sensing and intelligent computing in micro-sensors M H Hasan, A Al-Ramini, E Abdel-Rahman, R Jafari, F Alsaleem Sensors 20 (21), 6346, 2020 | 19 | 2020 |
| Machine Learning-Based Peripheral Artery Disease Identification Using Laboratory-Based Gait Data A Al-Ramini, M Hassan, F Fallahtafti, MA Takallou, H Rahman, ... Sensors 22 (Issue 19), 7432, 2022 | 18 | 2022 |
| Quantifying changes in bicycle volumes using crowdsourced data A Al-Ramini, MA Takallou, DP Piatkowski, F Alsaleem Environment and Planning B: Urban Analytics and City Science, 23998083211066103, 2022 | 9 | 2022 |
| Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation MA Takallou, F Fallahtafti, M Hassan, A Al-Ramini, B Qolomany, I Pipinos, ... Scientific reports 14 (1), 1075, 2024 | 5 | 2024 |
| PAD Diagnosis and Estimation of Treatment Effectiveness Using Machine Learning AH Al-Ramini The University of Nebraska-Lincoln, 2023 | 2 | 2023 |
| Diagnosis of Disease Affecting Gait with a Body Acceleration-Based Model Using Reflected Marker Data for Training and a Wearable Accelerometer for Implementation. F Alsaleem, M Takallou, F Fallahtafti, M Hassan, A Al-Ramini, ... | | 2023 |
| How the pandemic changed bicycling: Lessons from The Midwest A Al-Ramini, D Piatkowski, A Freifeld, F Alsaleem 2022 State of Planning Transportation, 2022 | | 2022 |
| A Big Data Approach for Improving Nebraska Cycling Routes F Alsaleem, A Al-Ramini, MA Takallou, DP Piatkowski Nebraska. Department of Transportation, 2020 | | 2020 |
| Analyzing Cycling Routes In Nebraska Using Big Data A Al-Ramini | | 2020 |
