Missing Data Recovery for Downstream Learning in Low-Cost Environmental Sensor Networks-Reference-Cited by-同舟云学术

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Missing Data Recovery for Downstream Learning in Low-Cost Environmental Sensor Networks

Published:2023-05-24 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Information Technology Trends (ITT)
language:
Short-container-title:

Author:

Agbo Benjamin¹,Al-Aqrabi Hussain²,Alsboui Tariq³,Hussain Muhammad³,Hill Richard³

Affiliation:

1. Keele University,School of Computing and Mathematics,Keele,United Kingdom

2. Higher Colleges of Technology,Faculty of Computer Information Science,Sharjah,United Arab Emirates

3. University of Huddersfield,School of Computing and Engineering,Huddersfield,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184219/10184227/10184239.pdf?arnumber=10184239

Reference24 articles.

1. Using random forest to identify longitudinal predictors of health in a 30-year cohort study

3. Moving toward Smart Manufacturing with an Autonomous Pallet Racking Inspection System Based on MobileNetV2

4. Handling missing data in near real-time environmental monitoring: A system and a review of selected methods

5. Evaluation of turbulence from traffic using experimental data obtained in a street canyon

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