The development of roads has been one of the nation's most essential infrastructural
initiatives. It is an essential mode of transportation that plays an important role in our …

Objectives: The main purpose of this study is to introduce modern technique to using
artificial neural network for predicting the cost of structure works for highway project at the …

Adequate construction cost estimation is a main factor for any type of construction projects.
Forecasting cost of construction projects can be considered as a difficult task. In order to …

Sažetak Predicting conceptual costs is among the essential criteria in project decision-
making at the early stages of civil engineering disciplines. The cost estimation model …

Cost estimation is one among the key concerns throughout the project management life
cycle and may be thought to be one of the foremost important parameters of a project and …

Incomplete data and several unforeseen factors affect the accuracy of project cost estimates,
especially during the conceptualization stage. When stakeholders need an immediate …

Success of the construction companies is based on the successful completion of projects
within the agreed cost and time limits. Artificial neural networks (ANN) have recently …

The construction industry could not avoid the technology disruptive era. Therefore, the Thai
government has created a new policy and directed all departments to implement big data …

The construction cost index can reflect the construction market price changes on the project
cost. Due to unsuitable way of management and the consideration of data security, there is …

A number of uncompleted and abandoned building projects are attributable to overall bad
projects management. Determination of accurate cost of building projects is a huge factor in …