Explainable AI for gait speed analysis from multimodal data fusion.
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| Title: | Explainable AI for gait speed analysis from multimodal data fusion. |
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| Authors: | Alharthi A; Department of Electrical Engineering, King Khalid University, Abha, Saudi Arabia., Al Ayidh A; Department of Electrical Engineering, King Khalid University, Abha, Saudi Arabia., Alqurashi A; Department of Electrical Engineering, Umm Al Qura University, Makkah, Saudi Arabia., Alammar M; Department of Electrical Engineering, King Khalid University, Abha, Saudi Arabia., Mohammad SS; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia., Bouchekara H; Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia., Sha'aban YA; Department of Computer and Software Engineering, Embry-Riddle Aeronautical University, Prescott, Arizona, United States of America.; Center for International Studies, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America,., Alharbi TE; Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia. |
| Source: | PloS one [PLoS One] 2026 Feb 27; Vol. 21 (2), pp. e0341067. Date of Electronic Publication: 2026 Feb 27 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0341067 |
