End-to-End Data Quality Assessment Using Trust for Data Shared IoT Deployments-Reference-Cited by-同舟云学术

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End-to-End Data Quality Assessment Using Trust for Data Shared IoT Deployments

Published:2022-10-15 Issue:20 Volume:22 Page:19995-20009
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Byabazaire John¹^ORCID,O'Hare Gregory M.P.²^ORCID,Delaney Declan T.³^ORCID

Affiliation:

1. School of Computer Science, University College Dublin, Dublin 4, Ireland

2. School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland

3. School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland

Funder

Science Fund Ireland (SFI) Strategic Partnership Program

Origin Enterprises PLC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9920237/09884973.pdf?arnumber=9884973

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive data quality scoring operations framework using drift-aware mechanism for industrial applications;Journal of Systems and Software;2024-11

2. Data Quality in IoT Temperature Sensor Systems: Demonstrated on Time-Dependent Temperature Fluctuations;IEEE Sensors Journal;2024-08-15

3. Improved PBFT-Based High Security and Large Throughput Data Resource Sharing for Distribution Power Grid;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2024-08-01

4. On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review;Engineering;2024-07

5. Unified Data Framework for Enhanced Data Management, Consumption, Provisioning, Processing and Movement;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

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