There is a recognized need to forecast lithium-ion batteries' state of health (SOH) to
guarantee their safety and reliability. However, the selected health indicators highly …

Shear failure in reinforced concrete beams poses a critical safety issue since it may occur
without any prior signs of damage in some cases. Many of the existing shear design …

Autonomous vehicles (AV) have advanced considerably over the past decade and their
potential to reduce road accidents is without equal. That said, the evolution towards fully …

The complex shear behavior of circular concrete-filled tube (CCFT) members has been a
challenge for an adequate design equation. Collapses due to shear failure are primarily …

The accurate prediction of the mean wave overtopping rate at breakwaters is vital for a safe
design. Hence, providing a robust tool as a preliminary estimator can be useful for …

This study investigates the shear strength prediction of Fibre-Reinforced Concrete (FRC)
beams reinforced with Fibre-Reinforced Polymer (FRP) bars and without stirrups through the …

In the era of big data, machine learning (ML) has become a powerful tool in various fields,
notably impacting structural dynamics. ML algorithms offer advantages by modeling physical …

Optimizing the performance of screw compressors is critical for achieving high efficiency and
reducing costs in various industrial and engineering applications. Often, the design and …

This paper addresses the sensor selection problem for source localization within cyber–
physical systems (CPSs). While recent machine learning and reinforcement learning …

Surrogate models that combine dimensionality reduction and regression techniques are
essential to reduce the need for costly high-fidelity computational fluid dynamics data. New …