This review article explores and locates the current state-of-the-art related to application
areas from freight transportation, supply chain and logistics that focuses on arrival time …

This study aims to provide an effective and accurate machine learning approach to predict
the compressive strength (CS) and flexural strength (FS) of 3D printed fiber reinforced …

This research extensively used different progressive machine learning (ML) techniques to
predict the compressive strength (CS) and tensile strain (TSt) of engineered cementitious …

To enhance safety and efficiency in mixed traffic scenarios, it is crucial to predict freight truck
traffic flow accurately. Issues arise due to the interactions between freight trucks and …

Abstract Machine learning has become a popular science in recent years, as it produces
concrete and fast solutions to solve many problems. The rapidly increasing world population …

In recent decades, numerous explosions and ballistic attacks have caused significant global
loss of life and property. Ultra-high-performance concrete (UHPC) minimizes blast and …

The performance of machine learning algorithms for the automatic classification of industrial
and commercial facilities were examined within the scope of this project. A dataset …

Abstract Analysis of time series data for classification or prediction tasks is very useful in
various applications such as healthcare, climate studies and finance. As big data resources …