Big data in construction: current applications and future opportunities

HS Munawar, F Ullah, S Qayyum… - Big Data and Cognitive …, 2022 - mdpi.com
Big data have become an integral part of various research fields due to the rapid
advancements in the digital technologies available for dealing with data. The construction …

A comprehensive literature review on construction project risk analysis

E Tesfaye, E Berhan, D Kitaw - International Journal of Risk and …, 2016 - igi-global.com
The purpose of this paper is to present the chronological development of risk assessment
techniques and models undertaken in construction project for the past two decades. This …

Risk evaluation and prioritization in bridge construction projects using system dynamics approach

S Mortazavi, A Kheyroddin… - Practice Periodical on …, 2020 - ascelibrary.org
Bridges are the indispensable arterial transport of a country. Iran, as a vast country, needs to
develop a variety of road transportation inside and outside cities. Accelerating construction …

A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption

A Azadeh, M Kalantari, G Ahmadi, H Eslami - Construction Innovation, 2019 - emerald.com
Purpose Construction materials comprise a major part of the total construction cost. Given
the importance of bitumen as a fundamental material in construction projects, it is imperative …

Post-Pandemic Analysis Of House Price Prediction In Surabaya: A Machine Learning Approach

T Wiradinata, F Graciella, R Tanamal, YS Soekamto… - 2022 - dspace.uc.ac.id
The COVID-19 outbreak caused a slowdown in the Indonesian economy, as it did in many
other impacted nations. Consequently, the housing market in Indonesia, along with other …

Fuzzy set-based risk management for construction projects

A Salah - 2015 - spectrum.library.concordia.ca
Efficient and comprehensive risk management is critical for successful delivery of
engineering, procurement, and construction management (EPCM) projects. Complexity of …

[PDF][PDF] Using support vector machine (SVM) for time and cost overrun analysis in construction projects in Egypt

MG Eltoukhy, AH Nassar - International Journal of Civil Engineering …, 2021 - academia.edu
This study aims to model construction projects cost and time overruns, with the specific
objectives of identifying the causes and effects of cost and schedule overruns in construction …

Development of eDART based online diameter prediction systems in injection molding with multiple linear regression and fuzzy logic

JC Chen, G Guo, S Jala - Engineering Research Express, 2024 - iopscience.iop.org
Injection molding is a versatile technique for processing a wide range of thermoplastic and
thermosetting polymers, as well as their composites. Dimensional defects are a critical issue …

Fuzzy, neural network, and expert system hybrid method development framework for cost contingency estimation in subsea gas pipeline construction

M Yusuf, Y Latief - AIP Conference Proceedings, 2024 - pubs.aip.org
Gas infrastructure development will be accelerated as part of the National Strategic Project
since gas will be utilized as an intermediary energy source during the energy transition …

Owner time and cost contingency estimation for building construction projects in Egypt

S Nawar, O Hosny, K Nassar - Construction Research Congress …, 2018 - ascelibrary.org
Setting the right time and cost contingency is a major contributing factor to the success of the
project. Project managers usually tend to allocate project time and cost contingency …