A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

In this article, the spray atomization characteristics, combustion performance, and emissions
reduction characteristics of a biodiesel-fueled compression ignition (CI) engine are …

Due to sustainability, rising energy demands, environmental concerns and energy security
issues, scientists and researchers around the world are studying renewable biofuels as an …

A digital twin is the essential part of a recent and unavoidable trend in ship operation
digitalisation. The digital twin is a virtual replica of real ship or a particular system that …

Compared with the diesel engine with variable nozzle turbocharger, the performance and
economy characteristics of diesel engine without variable nozzle turbocharger are …

Increasing energy efficiency in off-road hydraulics is an essential requirement mainly
achieved by removing functional flow throttling in control valves and enabling energy …

Deep reinforcement learning (DRL) is an area of machine learning that combines a deep
learning approach and reinforcement learning (RL). However, there seem to be few studies …

This study focuses on the development of an extended MVEM capable of predicting the
engine performance parameters (thermodynamic, flow and mechanical) of two-stroke …

This study introduces a novel framework of metocean prediction and ship performance
models that integrate multiple layers of modeling to evaluate the environmental impact of …

Digital twin type models can be developed for physical systems that are complex nonlinear a
system of systems (SoS). However, such models are usually difficult to represent by linear …