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Machine learning prediction of biochar yield based on biomass characteristics

  • Published:2023-12 Issue: Volume:389 Page:129820
  • ISSN:0960-8524
  • Container-title:Bioresource Technology
  • language:en
  • Short-container-title:Bioresource Technology

Author:

Ma Jingjing,Zhang Shuai,Liu Xiangjun,Wang Junqi

Funder

Xi’an Jiaotong University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering

Reference48 articles.

1. Machine learning to predict biochar and bio-oil yields from co-pyrolysis of biomass and plastics;Alabdrabalnabi;Fuel,2022

2. Techno-economic comparison of biomass-to-transportation fuels via pyrolysis, gasification, and biochemical pathways;Anex;Fuel,2010

3. Pyrolysis of agricultural biomass residues: comparative study of corn cob, wheat straw, rice straw and rice husk;Biswas;Bioresour. Technol.,2017

4. An optimized XGBoost based diagnostic system for effective prediction of heart disease;Budholiya;J. King Saud Univ. Sci.,2022

5. Online modeling with tunable RBF network;Chen;IEEE Trans. Cybern.,2013
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