Purpose The purpose of this study to apply stacking ensemble machine learning algorithm
for predicting the cost of highway construction projects. Design/methodology/approach The …

Artificial Neural Networks has gained considerable application in construction engineering
and management in recent time. Over 100 resources published in refereed journals and …

Time and cost estimations of project activities are challenging tasks for project managers
and planners. As a result of the high level of risk and uncertainty present during the early …

Nowadays, the very low reliability of the project planning in certainty-based approaches,
caused to use more intelligent methods for uncertainty management in construction projects …

Unloading activities directly impact the progress of earthmoving and filling projects, and a
reliable multistep-ahead unloading duration prediction could help optimize equipment …

The problem of optimal allocation of resources in limited circumstances to handle assigned
tasks has been dealt with in a wide variety of research fields. Various research …

The successful completion of the project within the estimated duration is the main target to
many schedulers, this will cause the contractor to gain more reputation, and the owner will …

Rational and precise time estimation in a manufacturing plan is critical to the success of a
shipbuilding project. However, due to the large number of various ship blocks, existing …

Purpose Design-Build (DB) is known as the alternative for Design-Bid-Build in the Malaysian
construction industry. For DB projects, it is critical to adopt effective decision support tool to …

The dynamic nature of construction projects triggers uncertainty in activity durations. Several
approaches such as interval analysis, probabilistic models, and fuzzy set theory have been …