Abstract: Project management tasks, such as productivity monitoring and cost estimation, require data to be fused from multiple data sources. Data fusion approaches incorporated in the existing research studies within the construction ...

Abstract: Parallel computing has become a powerful approach for solving real-time decisions about large-scale, computing-intensive transportation problems. A frequently encountered transportation problem is the “shortest path problem;” ...

Abstract: Networked infrastructures serve as essential backbones of society. In particular, road transportation networks have a principal role in people’s everyday lives because they facilitate physical connectivity. External factors, ...

Abstract: Indoor localization is needed for guiding people who are not familiar with a facility. This need is more critical when guidance is needed to locate people or objects that need immediate attention. For example, an inexperienced ...

Abstract: This paper presents a framework that is aimed at improving the performance of two existing ensemble methods (namely, AdaBoost and Bagging) for airborne light detection and ranging (LIDAR) classification. LIDAR is one of ...

Abstract: Networked infrastructures serve as essential backbones of society. In particular, road transportation networks have a principal role in people’s everyday lives because they facilitate physical connectivity. External factors, ...

Abstract: Collection of accurate, complete, and reliable field data is not only essential for active management of construction projects involving various tasks, such as material tracking, progress monitoring, and quality assurance, ...