Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource

10.1016/j.jclepro.2020.123928

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Bibliographic Details
Main Authors:	LI JIE, ZHU XINZHE, LI YINAN, TONG YEN WAH, YONG SIK OK, WANG XIAONAN
Other Authors:	CHEMICAL & BIOMOLECULAR ENGINEERING
Format:	Article
Published:	Elsevier 2021
Subjects:	Waste-to-energy Biochar Hydrothermal carbonization Renewable energy Carbon sequestration Multi-objective optimization
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/191173
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-191173
record_format	dspace
spelling	sg-nus-scholar.10635-1911732024-03-26T08:56:03Z Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource LI JIE ZHU XINZHE LI YINAN TONG YEN WAH YONG SIK OK WANG XIAONAN CHEMICAL & BIOMOLECULAR ENGINEERING Waste-to-energy Biochar Hydrothermal carbonization Renewable energy Carbon sequestration Multi-objective optimization 10.1016/j.jclepro.2020.123928 JOURNAL OF CLEANER PRODUCTION 278 2021-05-11T06:12:46Z 2021-05-11T06:12:46Z 2020-08-28 Article LI JIE, ZHU XINZHE, LI YINAN, TONG YEN WAH, YONG SIK OK, WANG XIAONAN (2020-08-28). Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource. JOURNAL OF CLEANER PRODUCTION 278. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jclepro.2020.123928 0959-6526 https://scholarbank.nus.edu.sg/handle/10635/191173 Elsevier
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Waste-to-energy Biochar Hydrothermal carbonization Renewable energy Carbon sequestration Multi-objective optimization
spellingShingle	Waste-to-energy Biochar Hydrothermal carbonization Renewable energy Carbon sequestration Multi-objective optimization LI JIE ZHU XINZHE LI YINAN TONG YEN WAH YONG SIK OK WANG XIAONAN Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
description	10.1016/j.jclepro.2020.123928
author2	CHEMICAL & BIOMOLECULAR ENGINEERING
author_facet	CHEMICAL & BIOMOLECULAR ENGINEERING LI JIE ZHU XINZHE LI YINAN TONG YEN WAH YONG SIK OK WANG XIAONAN
format	Article
author	LI JIE ZHU XINZHE LI YINAN TONG YEN WAH YONG SIK OK WANG XIAONAN
author_sort	LI JIE
title	Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
title_short	Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
title_full	Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
title_fullStr	Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
title_full_unstemmed	Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
title_sort	multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: application of machine learning on waste-to-resource
publisher	Elsevier
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/191173
_version_	1795301440416120832

Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource

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