Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge-Reference-Cited by-同舟云学术

Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge

Published:2023-12-04 Issue: Volume:11 Page:1-10
ISSN:
Container-title:Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
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Author:

Al-Ameen Shamil¹²^ORCID,Sudharsan Bharath³^ORCID,Szydlo Tomasz⁴^ORCID,Al-Taie Roua⁵^ORCID,Shah Tejal⁴^ORCID,Ranjan Rajiv⁴^ORCID

Affiliation:

1. School of Computing, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, UK

2. University of Mosul, Mosul, Ninevah, Iraq

3. General Motors, Limerick, IE

4. School of Computing, Newcastle University, Newcastle Upon Tyne, UK

5. University of Mosul, Mosul, IQ

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603166.3632164

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5. Sultan Altarrazi, Tomasz Szydlo, Schahram Dustdar, N. Srirama, and Rajiv Ranjan. 2023. Addressing Faults Landscape in IoT: Toward Data-Centric and System Resilience. IEEE Internet Computing.