Case Machine Learning Experience into Modelling and Simulation to Improve the Efficiency of Construction Engineering Process Management

Joel Alanya-Beltran, Budesh Kanwer, Dharam Buddhi, Syed Hamim Jeelani, Carlos Valderrama-Zapata, Sushma Jaiswal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The research work has highlighted that the main purpose of this research work is to identify the role of ML (Machine Learning) in simulation modelling and its effect on construction project engineering. In this research, it has been clearly identified that ML achieves the advantages such as risk identification, quality enhancement, and reduction of financial burden. These critical aspects are integrated into the engineering of the construction projects enabled by ML. The present research also shed light on the machine learning technologies for the completion of a construction project with much ease. Lastly, the research consists of some of the data collection methods by which the researcher could appropriately gather the research data and information for the smooth completion of the construction project.

Original languageEnglish
Title of host publication2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2463-2467
Number of pages5
ISBN (Electronic)9781665437899
ISBN (Print)9781665437899
DOIs
StatePublished - 28 Apr 2022
Externally publishedYes
Event2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 - Greater Noida, India
Duration: 28 Apr 202229 Apr 2022

Publication series

Name2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022

Conference

Conference2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
Country/TerritoryIndia
CityGreater Noida
Period28/04/2229/04/22

Keywords

  • algorithms
  • construction engineering
  • Machine learning
  • simulation

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