A machine learning technique provides rapid access to various information models,
approaches, complex systems, and algorithms. In the present scenario the artificial neural …

This investigation aims to assess the nano-silica and silica fume effectiveness on
engineering clay soils' characteristics stabilized with cement kiln dust. Laboratory tests …

Concrete is the most used materials in the construction industry known as an environmental
pollutant, posing enormous challenges for sustainability regarding resource depletion …

The early prediction of Compressive Strength of Concrete (CSC) is a significant task in the
civil engineering construction projects. This study, therefore, is dedicated to introducing two …

Developing an accurate pavement prediction model plays a dominant role in pavement
M&R optimization. Despite employing different robust machine learning techniques to …

Digital transformation of concrete technology is one of the current “hot topics” tackled by both
academia and industry. The final goal is to fully integrate the already existing advanced …

The utilization of waste products is becoming a vital aspect of the construction industry to
safeguard environmental assets and mitigate pollution, all of which lead to long-term …

ABSTRACT CO2 emission reduction in large-scale pavement network maintenance
planning has been an immense concern. The conventional single-objective optimisation …

The sustainability of pavement, especially in Maintenance and Rehabilitation (M&R)
scheduling, has become an immense concern and has received limited attention in previous …

ABSTRACT Maintenance and Rehabilitation (M&R) scheduling is one of the vital aspects of
a pavement management system (PMS). This study aims to establish accurate M&R plans …