We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …

Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

There is high demand for heavy equipment in civil infrastructure projects and their
performance is a determinant of the successful delivery of site operations. Although …

There are numerous models proposed for construction cost estimation. Most of them are
based on projects' characteristics only while neglecting the external economic factors. This …

Construction productivity estimation lacks a comprehensive, standard, and task-type-
independent framework to generate and serialize Machine Learning (ML) models. This …

Neural networks (NNs) have seen an increase in popularity in the last few years. As found in
several papers, they outperformed other machine learning algorithms and have improved …

Purpose The study is aimed to compare the prediction success of basic machine learning
and ensemble machine learning models and accordingly create novel prediction models by …

This paper aims at developing a model to measure and evaluate the performance and
productivity of the construction of steel structure projects (SSPs). Practitioners and experts …

Purpose Completing construction projects within the planned schedule has widely been
considered as one of the major project success factors. This study investigates the use of …

Bulldozers, pivotal in earthworks, traditionally undergo supervision through labor-intensive
and potentially unreliable manual methods. This research proposes a vision-based method …