Optimizing the model-prediction of date palm fronds-derived producer gas and third generation biodiesel powered dual-fuel engine by employing Bayesian-optimized Boosted Regression Trees for enhanced prognostics-Reference-Cited by-同舟云学术

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Optimizing the model-prediction of date palm fronds-derived producer gas and third generation biodiesel powered dual-fuel engine by employing Bayesian-optimized Boosted Regression Trees for enhanced prognostics

Published:2024-07 Issue: Volume:187 Page:1338-1353
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Alruqi Mansoor

Funder

Shaqra University

Publisher

Elsevier BV

Reference64 articles.

1. Dynamic failure analysis of process systems using neural networks;Adedigba;Process Saf. Environ. Prot.,2017

2. Effect of injection parameters and producer gas derived from redgram stalk on the performance and emission characteristics of a diesel engine;Akkoli;Alex. Eng. J.,2021

3. Process optimization and economic evaluation of air gasification of Saudi Arabian date palm fronds for H2-rich syngas using response surface methodology;Ali;Fuel,2022

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;Alruqi;Fermentation,2023

5. Implementation of Logistic Regression on Diabetic Dataset using Train-Test-Split, K-Fold and Stratified K-Fold Approach;Bhagat;Natl. Acad. Sci. Lett.,2022

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