Manufacturing industries generate a large amount of data from various devices, systems and
applications. Challenges, including both data management and data analysis exist in …

Construction equipment is one of the most significant resources in large construction
projects, accounting for a considerable portion of the project budget. Improving the …

Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …

Inefficiencies in the management of earthmoving equipment greatly contribute to the
productivity gap of infrastructure projects. This paper develops and tests a Deep Neural …

Purpose Despite IoT's huge potential, enterprises' ability to leverage it is their competitive
advantage. Thus, competitive differentiation is primarily predicated on leveraging IoT toward …

Cost overruns, schedule delays, and quality issues negatively impact the majority of
transportation infrastructure projects, and inspectors and project engineers are in short …

Abstract Current research on Digital Twin (DT) is largely focused on the performance of built
assets in their operational phases as well as on urban environment. However, Digital Twin …

A considerable body of literature has been dedicated to research studies on construction
equipment. Many topics were discussed and analyzed and various conclusions have been …

Due to the great market competition, transport companies face the need to reduce their
vehicle fleet costs. The vehicle fleet managers' actions on the driver's driving style to achieve …

Most of the existing science and technology parks resort to various conventional ways to
attract different stakeholders to the park. Some of these traditional measures include …