Synthesis, characterization and machine learning based performance prediction of straw activated carbon-Reference-Cited by-同舟云学术

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Synthesis, characterization and machine learning based performance prediction of straw activated carbon

Published:2019-03 Issue: Volume:212 Page:1210-1223
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Jiang Wen,Xing Xianjun,Li Shan,Zhang Xianwen,Wang Wenquan

Funder

Beijing Municipal Education Commission

The International Science and Technology Cooperation Project of Anhui Province

The Science and Technology Project of Anhui Province

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference56 articles.

1. Recent advances in new generation dye removal technologies: novel search for approaches to reprocess wastewater;Ahmad;RSC Adv.,2015

2. Random forest modeling for the kinetic and isotherm study of malachite green adsorption from aqueous environments using zinc sulfide nanoparticle loaded with activated carbon;Ansari;Desalination Water Treat.,2017

3. Random forest model for the ultrasonic-assisted removal of chrysoidine G by copper sulfide nanoparticles loaded on activated carbon; response surface methodology approach;Bagheri;RSC Adv.,2015

4. Efficient treatment of rice byproducts for preparing high-performance activated carbons;Basta;J. Clean. Prod.,2019

5. Preparation, characterization and Methylene Blue adsorption of phosphoric acid activated carbons from globe artichoke leaves;Benadjemia;Fuel Process. Technol.,2018

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