Machine learning approaches for predicting shielding effectiveness of carbon fiber-reinforced mortars

Machine learning approaches for predicting shielding effectiveness of carbon fiber-reinforced mortars

The exponential growth of communication technologies and the ubiquitous use of electronic devices raise concerns about unintended electromagnetic interference (EMI). Existing research exploring mortars incorporated with carbon fibers for EMI shielding primarily relies on empirical experiments invest...

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Bibliographic Details
Main Authors: Ali Husnain, Munir Iqbal, Muhammad Ashraf, Deema mohammed alsekait, Muhammad Faisal Javed, Hisham Alabduljabbar, Diaa Salama Abd Elminaam
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Electromagnetic
Shielding
Mortar
Carbon fibers
Machine learning
Shapley
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524003401

Internet

http://www.sciencedirect.com/science/article/pii/S2214509524003401

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