Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31351
Title: | Kalman Filters in IoT: A Bibliometric Analysis |
Authors: | Obaideen K AlShabi M Gadsden SA |
Department: | Mechanical Engineering |
Keywords: | 4605 Data Management and Data Science;46 Information and Computing Sciences;Networking and Information Technology R&D (NITRD);Machine Learning and Artificial Intelligence;9 Industry, Innovation and Infrastructure |
Publication Date: | 2025 |
Publisher: | Springer Nature |
URI: | http://hdl.handle.net/11375/31351 |
metadata.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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