Operations research (OR) has been at the core of decision making since World War II, and
today, business interactions on different platforms have changed business dynamics …

Construction cost predictions to reduce time risk assessment are indispensable steps for
process of decision-making of managers. Machine learning techniques need adequate …

In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …

This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

The adequate cost estimation of mill plants plays a crucial role in the success of feasibility
studies of mining projects. Grinding is one of the most important operations in mineral …

The success of construction projects is a fundamental issue for most governments, users
and communities. In the literature that deals with construction project success and causes of …

Neural networks are being used in areas of prediction and classification, the areas where
statistical methods have traditionally been used. Both the traditional statistical methods and …

Despite many improvements in safety management, the construction industry still has the
highest potential for occupational injuries including High Severe (HS) work events, which …

Smart energy services and technologies are key components of energy transition and
decarbonisation strategies for the built environment. On the one hand, the technical potential …

Material loading is one of the most critical operations in earthmoving projects. A number of
different equipment is available for loading operations. Project managers should consider …