Machine learning approaches for predicting shielding effectiveness of carbon fiber-reinforced mortars-Reference-Cited by-同舟云学术

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

Published:2024-07 Issue: Volume:20 Page:e03189
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Husnain Ali,Iqbal Munir,Ashraf Muhammad,alsekait Deema mohammed,Javed Muhammad Faisal,Alabduljabbar Hisham,Elminaam Diaa Salama Abd

Funder

Princess Nora bint Abdulrahman University

Publisher

Elsevier BV

Reference142 articles.

1. Electromagnetic shielding properties of carbon fibre reinforced cementitious composites;Wanasinghe;Constr. Build. Mater.,2020

2. Advancements in electromagnetic interference shielding cementitious composites;Wanasinghe;Constr. Build. Mater.,2020

3. Electromagnetic shielding properties of polypyrrole/polyester composites in the 1–18 GHz frequency range;Håkansson;Synth. Met.,2006

4. The effects of EMI from cell phones on GMR magnetic recording heads and test equipment;Kraz;J. Electro,2002

5. Electromagnetic interference shielding effectiveness of carbon nanofiber/LCP composites;Yang;Compos. Part A Appl. Sci. Manuf.,2005

Cited by 2 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. Development of innovative alkali activated paste reinforced with polyethylene fibers for concrete crack repair;PLOS ONE;2024-07-15

2. Modeling the strength parameters of agro waste-derived geopolymer concrete using advanced machine intelligence techniques;REVIEWS ON ADVANCED MATERIALS SCIENCE;2024-01-01

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