检索结果-南通市图书馆

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

引用

Journal of Energy Chemistry 2023年第6期81卷 42-63,I0003页

作者： Aditya Velidandi Pradeep Kumar Gandam Madhavi Latha Chinta Srilekha Konakanchi anji reddy b.avanam Rama Raju baadhe Minaxi Sharma James Gaffey Quang D.Nguyen Vijai Kumar Gupta Integrated biorefinery Research Laboratory Department of BiotechnologyNational Institute of TechnologyWarangalTelangana 506004India Stem cell research laboratory Department of BiotechnologyNational Institute of TechnologyWarangalTelangana 506004India Department of biotechnology Chaitanya University(Deemed to be University)WarangalTelangana 506001India Department of Chemical Engineering Dr.B.R.Ambedkar National Institute of Technology JalandharPunjab 144027India Haute Ecole Provinciale de Hainaut-Condorcet 7800 ATHBelgium Department of Applied biology University of Science and TechnologyMeghalaya 793101India Circular bioeconomy Research Group Shannon Applied Biotechnology CentreMunster Technological UniversityKerryIreland Department of bioengineering and Alcoholic Drink Technology Institute of Food Science and TechnologyHungarian University of Agriculture and Life SciencesH-1118 BudapestḾenesiút 45Hungary biorefining and Advanced Materials Research Center SRUCKings BuildingsWest Mains RoadEdinburgh EH93JGUK Department of biotechnology Graphic Era Deemed to be UniversityDehradun 248002UttarakhandIndia

Machine learning(ML)has emerged as a significant tool in the field of biorefinery,offering the capability to analyze and predict complex processes with *** article reviews the current state of biorefinery and its classification,highlighting various commercially successful ***,we delve into different categories of ML models,including their algorithms and applications in various stages of biorefinery lifecycle,such as biomass characterization,pretreatment,lignin valorization,chemical,thermochemical and biochemical conversion processes,supply chain analysis,and life cycle *** benefits and limitations of each of these algorithms are discussed in ***,the article concludes with a discussion of the limitations and future prospects of ML in the field of biorefineries.

关键词： biofuel biomass characterization biorefinery Life cycle assessment Machine learning Pretreatment

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：