Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31351
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Obaideen K | - |
dc.contributor.author | AlShabi M | - |
dc.contributor.author | Gadsden SA | - |
dc.date.accessioned | 2025-03-03T22:51:05Z | - |
dc.date.available | 2025-03-03T22:51:05Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | http://hdl.handle.net/11375/31351 | - |
dc.publisher | Springer Nature | - |
dc.subject | 4605 Data Management and Data Science | - |
dc.subject | 46 Information and Computing Sciences | - |
dc.subject | Networking and Information Technology R&D (NITRD) | - |
dc.subject | Machine Learning and Artificial Intelligence | - |
dc.subject | 9 Industry, Innovation and Infrastructure | - |
dc.title | Kalman Filters in IoT: A Bibliometric Analysis | - |
dc.type | Article | - |
dc.date.updated | 2025-03-03T22:51:05Z | - |
dc.contributor.department | Mechanical Engineering | - |
dc.identifier.doi | https://doi.org/10.1007/978-981-97-4784-9_38 | - |
Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
File | Description | Size | Format | |
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188-KalmanFiltersinIoT.pdf | Published version | 445.83 kB | Adobe PDF | View/Open |
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