Automation of text document classification in the budgeting phase of the Construction process: a Systematic Literature Review

L Jacques de Sousa, J Poças Martins… - Construction …, 2024 - emerald.com
Purpose This study aims to review recent advances towards the implementation of ANN and
NLP applications during the budgeting phase of the construction process. During this phase …

Feature extraction for class imbalance using a convolutional autoencoder and data sampling

Z Salekshahrezaee, JL Leevy… - 2021 IEEE 33rd …, 2021 - ieeexplore.ieee.org
Training a machine learning algorithm from a class-imbalanced dataset is an inherently
challenging task. The task becomes more challenging when compounded by high …

Machine learning algorithms for constructions cost prediction: A systematic review

Y Ghadbhan Abed, TM Hasan… - International Journal of …, 2022 - ijnaa.semnan.ac.ir
Machine learning plays a vital role in construction estimation which could make improve the
project's safety, and reliability. Many studies have been proposed to explore the potential …

Towards the Development of a Budget Categorisation Machine Learning Tool: A Review

L Jacques de Sousa, J Poças Martins… - … Conference on Trends …, 2023 - Springer
Engineering, procurement, and construction (EPC) contracts include time, budget, quality,
and safety, among other issues. In budgeting, construction companies must assess each …

Exploring the Influence of Preoperative Variables on Patient Satisfaction: A Machine Learning Approach in Rotator Cuff Repair Surgeries

A Taneja, TM Talavage, BM Grawe… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
Orthopedic interventions, including rotator cuff repair surgeries, play a pivotal role in
addressing musculoskeletal conditions and restoring patients' functional abilities. While …

A Methodology and Tool for the Predictive Analysis of Cost Growth in Construction Projects

N Tajziyehchi, M Moshirpour, G Jergeas… - 2021 IEEE 22nd …, 2021 - ieeexplore.ieee.org
The difference between the actual cost and the budgeted cost is high in construction
projects. Due to their complex nature, it can be challenging to understand the true impact of …

Towards the Development of a Budget Categorisation Machine Learning Tool: A Review

L Sanhudo - Trends on Construction in the Digital Era …, 2022 - books.google.com
Engineering, procurement, and construction (EPC) contracts include time, budget, quality,
and safety, among other issues. In budgeting, construction companies must assess each …

[PDF][PDF] A Machine Learning-Based Approach for Predictive Analysis of Cost Growth in Heavy Industrial Construction Projects

N Tajziyehchi - unpublished MS thesis, Schulich School of …, 2021 - academia.edu
The construction industry spends billions of dollars on large-scale projects annually. These
projects typically experience cost overruns, which differ across regions. For instance …