Validation of the research methodology and its results is a fundamental element of the
process of scholarly endeavor. Approaches used for construction engineering and …

Even if measuring the outcome of binary classifications is a pivotal task in machine learning
and statistics, no consensus has been reached yet about which statistical rate to employ to …

Information technology (IT) has been widely applied across many economic sectors in order
to increase competitiveness and reduce costs. This paper identifies that uptake of IT within …

Whole life-cycle costing (WLCC) is rapidly becoming the standard method for the long-term
cost appraisal of buildings and civil infrastructure projects. With clients now demanding …

Abstract Support Vector Machines are methods that stem from Artificial Intelligence and
attempt to learn the relation between data inputs and one or multiple output values …

Managing excessive geometric variability risks in modular components and assemblies
represents a major challenge in construction projects because of incompatibility between …

Project scheduling, risk analysis and project tracking are key parameters to a project's
success or failure. Research on the relative sensitivity of project activities during the project …

This paper presents five Artificial Intelligence (AI) methods to predict the final duration of a
project. A methodology that involves Monte Carlo simulation, Principal Component Analysis …

Estimating the durations of construction activities requires experts knowledge. Statements
used by these experts usually contain some sort of imprecision. Previous studies have …

Traditional construction planning, which depends on historical data and heuristic
modification, prevents the integration of managerial details such as productivity dynamics …