Artificial intelligence and parametric construction cost estimate modeling: State-of-the-art review

HH Elmousalami - Journal of Construction Engineering and …, 2020 - ascelibrary.org
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 …

Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering

V Asghari, MH Kazemi, M Shahrokhishahraki… - Advanced Engineering …, 2023 - Elsevier
A limited assessment of the development process and various stages of machine learning
(ML) based solutions for construction engineering (CE) problems are available in the …

Comparison of artificial intelligence techniques for project conceptual cost prediction: A case study and comparative analysis

HH Elmousalami - IEEE Transactions on Engineering …, 2020 - ieeexplore.ieee.org
Developing a reliable parametric cost model at the conceptual stage of the project is crucial
for project managers and decision makers. Existing methods, such as probabilistic and …

Cost calculation of construction projects including sustainability factors using the Case Based Reasoning (CBR) method

A Leśniak, K Zima - Sustainability, 2018 - mdpi.com
The idea of sustainable development and the resulting environmentally friendly attitudes are
increasingly used in construction projects. Designing in accordance with the principles of …

Designing the composition of cement stabilized rammed earth using artificial neural networks

H Anysz, P Narloch - Materials, 2019 - mdpi.com
Cement stabilized rammed earth (CRSE) is a sustainable, low energy consuming
construction technique which utilizes inorganic soil, usually taken directly from the …

Cost prediction of building projects using the novel hybrid RA-ANN model

Y Wang, J Zuo, M Pan, B Tu, RD Chang… - Engineering …, 2024 - emerald.com
Purpose Accurate and timely cost prediction is critical to the success of construction projects
which is still facing challenges especially at the early stage. In the context of rapid …

Risk assessment of additional works in railway construction investments using the Bayes network

A Leśniak, F Janowiec - Sustainability, 2019 - mdpi.com
The implementation of railway infrastructure construction projects including sustainable
development goals is a complex process characterized by a significant extension of …

The use of artificial intelligence as a tool supporting sustainable development local policy

M Mrówczyńska, M Sztubecka, M Skiba… - Sustainability, 2019 - mdpi.com
This paper addresses the problem of noise in spa protection areas. Its aim is to determine
the delimitation of the areas that exceed a permissible noise level around the sanatorium on …

[PDF][PDF] Particle swarm optimization based approach for estimation of costs and duration of construction projects

TZ Khalaf, H Çağlar, A Çağlar… - Civil Engineering …, 2020 - pdfs.semanticscholar.org
Cost and duration estimation is essential for the success of construction projects. The
importance of decision making in cost and duration estimation for building design processes …

Quantifying critical success factors (Csfs) in management of investment-construction projects: Insights from Bayesian model averaging

J Sobieraj, D Metelski - Buildings, 2021 - mdpi.com
The problem with evaluating investment projects is that there are many factors that
determine the degree of their successful conclusion. Consequently, there has been an …