[HTML][HTML] Artificial intelligence in the construction industry: A systematic review of the entire construction value chain lifecycle

CN Egwim, H Alaka, E Demir, H Balogun, R Olu-Ajayi… - Energies, 2023‏ - mdpi.com
In recent years, there has been a surge in the global digitization of corporate processes and
concepts such as digital technology development which is growing at such a quick pace that …

Systematic review of critical drivers for delay risk prediction: Towards a conceptual framework for BIM-based construction projects

CN Egwim, H Alaka, E Demir, H Balogun… - Frontiers in Engineering …, 2022‏ - emerald.com
Systematic review of critical drivers for delay risk prediction: towards a conceptual framework
for BIM-based construction projects | Emerald Insight Books and journals Case studies Expert …

Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics

CN Egwim, H Alaka, OO Egunjobi, A Gomes… - Journal of Engineering …, 2024‏ - emerald.com
Purpose This study aims to compare and evaluate the application of commonly used
machine learning (ML) algorithms used to develop models for assessing energy efficiency of …

[PDF][PDF] Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle. Energies 2024, 17, 182

CN Egwim, H Alaka, E Demir, H Balogun, R Olu-Ajayi… - 2024‏ - academia.edu
In recent years, there has been a surge in the global digitization of corporate processes and
concepts such as digital technology development which is growing at such a quick pace that …

[HTML][HTML] Combining a Population-Based Approach with Multiple Linear Models for Continuous and Discrete Optimization Problems

E Vega, R Soto, P Contreras, B Crawford, J Peña… - Mathematics, 2022‏ - mdpi.com
Population-based approaches have given us new search strategies and ideas in order to
solve optimization problems. Usually, these methods are based on the performance carried …

Applied Artificial Intelligence for Delay Risk Prediction of BIM-Based Construction Projects

CN Egwim - 2024‏ - uhra.herts.ac.uk
Construction projects are complex endeavours requiring intricate coordination among
stakeholders, resources, and timelines. However, delays are a pervasive issue, causing …

Adopting Similarity Analysis to Increase the Performance and Practicality of Machine Learning Models for Building Energy Analysis

Z Tian, X Zhang, X Shi, S Wei - Available at SSRN 4412701‏ - papers.ssrn.com
The accumulated building performance data stimulate the research of data-driven building
energy analysis (DDBEA) for better design and operation. The objectives of DDBEA are to …

Energiebedarfsbestimmung von Bestands-Wohngebäuden anhand von maschinellen Lernmethoden

P Sommer - 2024‏ - hb.fh-muenster.de
Energieausweise informieren über den Energiebedarf und-verbrauch von Gebäuden. Für
die Erstellung eines Energieausweises werden gebäudespezifische Daten benötigt …