A secure, private, and explainable IoHT framework to support sustainable health monitoring in a smart city
Bibliographic Data
| ID | 21229039 |
|---|---|
| Authors | Md Abdur Rahman (0000-0002-8684-8154), M Shamim Hossain (0000-0001-5906-9422, King Saud University, corresponding author), Ahmad J Showail (0000-0001-6026-9739, Taibah University), Nabil Alrajeh (0000-0002-1861-0582, King Saud University), Nabil A Alrajeh, Mohammed F Alhamid (0000-0003-1392-1426, King Saud University) |
| Year | 2021 |
| Volume | 72 |
| Pages | 103083 |
| Publication date | 2021-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.103083 |
| OpenAlex | W3169654464 |
| Language | EN |
| Citations received | 6 |
| References cited | 34 |
Big data · Business · Computer security · Data mining · Data science · Database · Deep learning · Encryption · Health care · Knowledge management · Process management · Sustainability · Workflow · Artificial Intelligence in Healthcare and Education · Blockchain Technology Applications and Security · Computer Science · IoT and Edge/Fog Computing · Artificial Intelligence
| Unique citing works | 6 |
|---|---|
| Citations per year | 1.2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |