Characterization and Modeling of Corn Stalk Fibers tied with Clay using Support Vector Regression Algorithms-Reference-Cited by-同舟云学术

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Characterization and Modeling of Corn Stalk Fibers tied with Clay using Support Vector Regression Algorithms

Published:2021-07-05 Issue: Volume: Page:1-16
ISSN:1544-0478
Container-title:Journal of Natural Fibers
language:en
Short-container-title:Journal of Natural Fibers

Author:

Ciaburro Giuseppe¹^ORCID,Puyana-Romero Virginia²^ORCID,Iannace Gino¹^ORCID,Jaramillo-Cevallos Wilson Andres²

Affiliation:

1. Dipartimento Di Architettura E Disegno Industriale, Università Degli Studi Della Campania Luigi Vanvitelli, Aversa Italy

2. Grupo De Investigación Entornos Acústicos, Facultad De Ingeniería Y Ciencias Aplicadas, Universidad De Las Américas, Quito Ecuador

Publisher

Informa UK Limited

Subject

Materials Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/15440478.2021.1944427

Reference50 articles.

1. Hydrophobic treatment of natural fibers and their composites—A review

2. A Review of Sustainable Materials for Acoustic Applications

3. Sifat fisik, mekanik dan akustik papan partikel berbahan dasar batang jagung (Zea mays L.) [Physical, mechanical and acoustical characteristics of particleboard made from corn stalk (Zea mays L.)]

4. Auria, L., and R.A. Moro. 2008. Support vector machines (SVM) as a technique for solvency analysis. DIW Berlin Discussion Paper 811.

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