The field of artificial intelligence is currently experiencing relentless growth, with
innumerable models emerging in the research and development phases across various …

Low accuracy in the estimation of construction costs at early stages of projects has driven
the research on alternative costing methods that take advantage of computing advances …

The idea of sustainable development and the resulting environmentally friendly attitudes are
increasingly used in construction projects. Designing in accordance with the principles of …

Nonparametric cost estimation in construction projects with the use of artificial networks is
presented as suitable mainly for the early estimates. These conceptual estimates are based …

This study presents a method for estimating construction costs, even when dealing with
limited and unreliable data, to enhance decision-making in the early project stages. Owners …

Construction simulation is an effective tool to provide schedule plans. Vehicle speed is one
of the most significant factors in earthwork construction simulation. However, neglecting the …

Modeling of construction costs is a challenging task, as it requires representation of complex
relations between factors and project costs with sparse and noisy data. In this paper, neural …

The literature lacks in initial cost prediction models for college buildings, especially
comparing costs of sustainable and conventional buildings. A multi-regression model was …

Mega projects delivering rail infrastructure are constantly seeking cost-effective and efficient
technologies to sustain the growing population. Building information modeling (BIM) and …

Providing accurate forecasts of construction costs at the conceptual phases of building
projects is vital since they form an objective benchmark for the subsequent evaluation of …