Knowledge based data boosting exposition on CNT-engineered carbon composites for machine learning

Machine Learning (ML) is useful in predictive analytic or prognostic modeling for materials and engineering. It is, however, challenging to gather sufficient and representative data. Experiments are possible only in small numbers due to specialty materials, manufacturing, infrastructure, and testing...

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Bibliographic Details
Main Author: Joshi, Sunil Chandrakant
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/146387
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Institution: Nanyang Technological University
Language: English
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