Predictive modeling is revolutionised by the use of artificial intelligence (AI) in this paper.
AdaBoost regression, a potent algorithm for machine learning, is utilised. It excels at …

The consumption of fossil fuels has exponentially increased in recent decades, despite
significant air pollution, environmental deterioration challenges, health problems, and …

Owing to the ever-growing impetus towards the development of eco-friendly and low carbon
footprint energy solutions, biodiesel production and usage have been the subject of …

The search for renewable, affordable, sustainable, and ecologically benign fuels to
substitute fossil-based diesel fuels has led to increased traction in the search for biodiesel …

Since industrial development and globalization of the world, fossil fuels remain a major
source of energy for almost all sectors of life. Fossil fuels, without doubt, play a vital role in …

Biodiesel prepared by transesterification reaction was a potential fuel to address the global
energy issues due to obtaining from biomass resources (waste oils, micro-algae, and plant …

Biodiesel has received worldwide attention as a renewable energy resource that reduces
greenhouse gas (GHG) emissions. Unlike traditional fossil fuels, such as coal, oil, and …

Biodiesel usage is practically restricted as a blended supplement with fossil diesel. In the
current study, the authors have attempted to arrive at the optimal biodiesel blend …

In this article, super learner approaches such as hybrid Bayesian Optimization Algorithm‐
Support Vector Regression (BOA‐SVR), Bayesian Optimization Algorithm‐Boosted …

This study aims to determine optimal biodiesel ratio that can achieve the goals of fewer
emissions, reasonable fuel economy and wide engine operating range. Different advanced …