#10334. An Artificial Intelligence/Machine Learning Based Regression-Clustering-Sensor-Fusion Framework for Predicting Unmeasurable Time-Series Strain from Other Sensor Measurements
July 2026 | publication date |
Proposal available till | 11-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Sociology and Political Science;
Development; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
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4 place - free (for sale)
Abstract:
In this paper, we discuss an artificial intelligence and machine learning framework for predicting time-series strain from other sensor measurements such as from load cell, frame pull-rod displacement, and actuator displacement sensors.
Keywords:
artificial intelligence; machine learning; sensor measurements
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