Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

This study explores the performance regime of different classification algorithms as they are
applied to the analysis of asphalt pavement deterioration data. The aim is to examine how …

Random forest is a powerful machine learning algorithm with demonstrated success. In this
study, the authors developed a random forests regression (RFR) model to estimate the …

Decision-making in highway preventive maintenance (PM) is generally costly and
complicated. An inappropriate maintenance strategy could yield a low efficiency of budget …

Limited research has been conducted on the application of data analytics to the prediction of
the Pavement Condition Index (PCI) of asphalt roads. More importantly, studies comparing …

Abstract International Roughness Index (IRI) is a pavement performance indicator which
reflects not only the pavement condition but also the ride quality and comfort level of road …

The milage of asphalt pavement growth explosively around the world in the past decades
resulted in a tremendous maintenance workload. Preventive maintenance (PM) is an …

This paper proposes an ensemble learning model that deploys a Gradient Boosting
Decision Tree (GBDT) to predict two relevant functional indices, the International roughness …

For any structures, Reinforced concrete (RC) columns are the utmost carping members. RC
columns jacketed with CFRP membrane enhance resistance, deformation aptitude, and the …