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 …

High-rise building machines (HBMs) play a crucial role in the construction of super-tall
buildings, with their working states directly impacting safety, quality, and progress. Given …

Construction engineering and management (CEM) has become increasingly complicated
with the increasing size of engineering projects under different construction environments …

Element property is a crucial aspect of building information modeling (BIM) for almost all BIM‐
based engineering tasks. Since there are limited properties predefined in Industry …

This paper analyzes the application of artificial intelligence (AI) techniques in lean
construction (LC) and their potential to enhance project management (PM) for improved cost …

Almost all existing distribution network grounding tests are online. The existing offline
distribution network grounding detection methods are all manual handling methods, which …

Analyses of efficiency are vital for planning and monitoring the duration and costs of
construction works, as well as the entire construction project. This paper introduces a …

Predicting maintenance labor productivity is crucial for effective planning and decision-
making in the electricity industry. This paper aims at predicting maintenance labor …

Data on infrastructure project costs are often unstructured and lack consistency. To enable
costs to be compared within and between organizations, large amounts of data must be …

The technologies and innovations accompanying the Fourth Industrial Revolution are
reshaping industries worldwide; the Architecture, Engineering, and Construction (AEC) …