Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods-Reference-Cited by-同舟云学术

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Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods

Published:2023-12-29 Issue: Volume: Page:1-25
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Nguyen Van Giao¹,Sharma Prabhakar²,Ağbulut Ümit³,Le Huu Son⁴,Tran Viet Dung⁵,Cao Dao Nam⁵

Affiliation:

1. Institute of Engineering, HUTECH University, Ho Chi Minh City, Vietnam

2. Department of Mechanical Engineering, Delhi Skill and Entrepreneurship University, Delhi, India

3. Department of Mechanical Engineering, Faculty of Engineering, Düzce University, Düzce, Türkiye

4. Faculty of Automotive Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam

5. PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Vietnam

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2023.2297776

Reference118 articles.

1. Network intrusion detection system: A systematic study of machine learning and deep learning approaches

2. Co-pyrolysis of waste polypropylene and rice bran wax‒ production of biofuel and its characterization

3. Machine learning to predict biochar and bio-oil yields from co-pyrolysis of biomass and plastics

4. Biomethane Production from the Mixture of Sugarcane Vinasse, Solid Waste and Spent Tea Waste: A Bayesian Approach for Hyperparameter Optimization for Gaussian Process Regression

5. Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process regression for modeling-optimization

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1. Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer;Case Studies in Thermal Engineering;2024-08

2. Improved Dujiangyan Irrigation System Optimization (IDISO): A Novel Metaheuristic Algorithm for Hydrochar Characteristics;Processes;2024-06-26

3. Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches;International Journal of Green Energy;2024-03-14

4. A glass-box approach for predictive modeling based on experimental data for a waste biomass derived producer gas-powered dual-fuel engine;International Journal of Hydrogen Energy;2024-03

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