Tensile strength estimation of paper sheets made from recycled wood and non-wood fibers using machine learning-Reference-Cited by-同舟云学术

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Tensile strength estimation of paper sheets made from recycled wood and non-wood fibers using machine learning

Published:2023-02-07 Issue:1 Volume:10 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Li Ming¹^ORCID,Hu Kaitang²,Shao Suying³

Affiliation:

1. Department of Mathematics & Applied Sciences, University of Michigan-Flint, Flint, Michigan, USA

2. Department of Printing Engineering, Yuncheng Polytechnic College, Yuncheng, China

3. Department of Pulp and Paper Manufacturing, Tianjin University of Science & Technology, Tianjin, China

Funder

The author(s) reported that there is no funding associated with the work featured in this article

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2116828

Reference57 articles.

1. PREDICTING THE PROPERTIES OF CORRUGATED BASE PAPERS USING MULTIPLE LINEAR REGRESSION AND ARTIFICIAL NEURAL NETWORKS

2. Eco-Friendly Asphalt Approach for the Development of Sustainable Roads

3. Artificial Neural Network in Fibres Length Prediction for High Precision Control of Cellulose Refining

4. Pulp and paper characterization by means of artificial neural networks for effluent solid waste minimization—A case study

5. Solving the problems of recycled fiber processing with enzymes

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1. Potential of sustainable non-woody Miscanthus sinensis fibers in papermaking;Cellulose;2024-08-29

2. Corona discharge plasma for green de-inking of inkjet printer ink;Scientific Reports;2024-06-06

3. Reinforcement Fiber Production from Wheat Straw for Wastepaper-Based Packaging Using Steam Refining with Sodium Carbonate;Clean Technologies;2024-03-05

4. Effects of recycling on pulp quality;Recycling and Deinking of Recovered Paper;2024

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