Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …

The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …

Wind power, being a recyclable and renewable resource, makes for a sizable portion of the
new energy generation sector. Nonetheless, the wind energy industry is experiencing early …

With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

Physics-informed machine learning (PIML) has gained significant attention in various
scientific fields and is now emerging in the area of tribology. By integrating physics-based …

In this research, we utilized machine learning (ML) algorithms to predict the friction torque
and friction coefficient in a statically loaded radial journal bearing. The study investigated the …

In this study, the coefficient of friction and friction force in a cam follower mechanism were
estimated using modern machine learning (ML) algorithms. Three different ML algorithms …

Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …

In this study, the effect of the lubricant prepared by adding EP and silver nanoparticles
(AgNP) coated with different ligands to the ethylene glycol (EG) liquid on the tribological …

In many technical applications, understanding the behavior of tribological contacts is pivotal
for enhancing efficiency and lifetime. Traditional experimental investigations into tribology …