This study explores the thermal conductivity and viscosity of water-based nanofluids
containing silicon dioxide, graphene oxide, titanium dioxide, and their hybrids across …

This study presents a novel method based on the convolutional neural network to evaluate
knock probability. In this way, lots of data sets are extracted from the real driving conditions …

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 …

We introduce a novel approach to reconstructing the in-cylinder pressure trace from
vibration signals recorded with common knock sensors. The proposed methodology is …

This study focuses on developing machine learning models to detect subtle alterations in
hepatocyte chromatin organization due to Iron (II, III) oxide nanoparticle exposure …

Digital technologies are capable of making a significant contribution to improving large
internal combustion engine technology. In particular, methods from the field of artificial …

This study explores the dynamic behavior of pulsating combustors during stable operation,
examining pressure characteristics, flame dynamics, and thermodynamic cycles. Through …

Engine fault diagnosis is a critical task in automotive aftermarket management. Developing
appropriate fault-labeled datasets can be challenging due to nonlinearity variations and …

Nowadays, engine experimental research represents a very expensive field within the
automotive industry, but it remains fundamental for engine and vehicle development. The …

Precise prediction of combustion parameters such as peak firing pressure (PFP) or crank
angle of 50% burned mass fraction (MFB50) is essential for optimal engine control. These …