State-of-the-art on research and applications of machine learning in the building life cycle
Fueled by big data, powerful and affordable computing resources, and advanced algorithms,
machine learning has been explored and applied to buildings research for the past decades …
machine learning has been explored and applied to buildings research for the past decades …
Artificial intelligence in civil engineering
Artificial intelligence is a branch of computer science, involved in the research, design, and
application of intelligent computer. Traditional methods for modeling and optimizing complex …
application of intelligent computer. Traditional methods for modeling and optimizing complex …
Application of machine learning to construction injury prediction
The needs to ground construction safety-related decisions under uncertainty on knowledge
extracted from objective, empirical data are pressing. Although construction research has …
extracted from objective, empirical data are pressing. Although construction research has …
A deep learning approach in predicting products' sentiment ratings: a comparative analysis
V Balakrishnan, Z Shi, CL Law, R Lim, LL Teh… - The Journal of …, 2022 - Springer
We present a benchmark comparison of several deep learning models including
Convolutional Neural Networks, Recurrent Neural Network and Bi-directional Long Short …
Convolutional Neural Networks, Recurrent Neural Network and Bi-directional Long Short …
Assessing the accuracy of ChatGPT use for risk management in construction projects
H Aladağ - Sustainability, 2023 - mdpi.com
Artificial Intelligence (AI) is considered promising digital technology that has important
opportunities for enhancing project oversight and delivering improved decision-making in …
opportunities for enhancing project oversight and delivering improved decision-making in …
AI-based prediction of independent construction safety outcomes from universal attributes
This paper significantly improves on, and finishes to validate, an approach proposed in
previous research in which safety outcomes were predicted from attributes with machine …
previous research in which safety outcomes were predicted from attributes with machine …
Project cost risk analysis: A Bayesian networks approach for modeling dependencies between cost items
V Khodakarami, A Abdi - International Journal of Project Management, 2014 - Elsevier
Uncertainty of cost items is an important aspect of complex projects. Cost uncertainty
analysis aims to help decision makers to understand and model different factors affecting …
analysis aims to help decision makers to understand and model different factors affecting …
Support vector machine regression for project control forecasting
M Wauters, M Vanhoucke - Automation in Construction, 2014 - Elsevier
Abstract Support Vector Machines are methods that stem from Artificial Intelligence and
attempt to learn the relation between data inputs and one or multiple output values …
attempt to learn the relation between data inputs and one or multiple output values …
A comparative study of Artificial Intelligence methods for project duration forecasting
M Wauters, M Vanhoucke - Expert systems with applications, 2016 - Elsevier
This paper presents five Artificial Intelligence (AI) methods to predict the final duration of a
project. A methodology that involves Monte Carlo simulation, Principal Component Analysis …
project. A methodology that involves Monte Carlo simulation, Principal Component Analysis …
High-performance concrete compressive strength prediction using time-weighted evolutionary fuzzy support vector machines inference model
The major different between High Performance Concrete (HPC) and conventional concrete
is essentially the use of mineral and chemical admixture. These two admixtures made HPC …
is essentially the use of mineral and chemical admixture. These two admixtures made HPC …