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

Alanya-Beltran J.; Kanwer B.; Buddhi D.; Jeelani S.H.; Valderrama-Zapata C.; Jaiswal S. · 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 (2022) · DOI: 10.1109/icacite53722.2022.9823866

Resumen

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.

Instituciones: Universidad San Ignacio de Loyola; Universidad Tecnológica del Perú