In marine vessel operations, fuel costs are major operating costs which affect the overall
profitability of the maritime transport industry. The effective enhancement of using ship fuel …

Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

This research concentrates on the application of machine learning techniques to predict
combustion, performance, and emission parameters in a dual-fuel spark ignition (SI) engine …

Under the dual thrust of decarbonisation and digitalisation, data-driven enabling
technologies become the most promising solutions to reducing the time, cost, and effort …

Climate warming has become a global issue of close concern, and China, as a significant
agricultural country, has an increasing demand for food, which requires China to increase …

Biogas has developed as a potential substitute fuel source due to its renewable and
sustainable nature, which can help reduce greenhouse gas emissions. In this paper, along …

The reliability of internal combustion engines becomes an important aspect when traditional
fuels with biofuels. Therefore, the development of prognostic models becomes very …

Attention over greenhouse gas emissions has driven interest in cleaner energy sources
including alternative fuels. Waste-derived biogas, which is produced by the anaerobic …

In the present study, performance, emission, and vibro-acoustic studies were conducted on
a spark ignition (SI) engine fueled with gasoline and an n-propanol blend at variable …

This study focuses on optimizing the operating parameters of a diesel engine fueled by
diesel-isopropyl alcohol blends, with the aim of enhancing engine performance and …