Industrial Management Advances

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Editors-in-Chief

Prof. Jian Li

School of Economics and Management,Beijing University of Technology,China

ISSN

3029-1674(Online)

Article Processing Charges (APCs)

US$800

Publication Frequency

Semiyearly

PDF

Published

2024-11-22

Issue

Vol 2 No 2 (2024): Published

Section

article

Predictive analysis for construction site using AI

Sakshi Tayade

Pune 411047, Maharashtra, India

Akash Goyal

Pune 411032, Maharashtra, India

Pranjal Wani

Pune 411015, Maharashtra, India

Sanskruti Behar

Pune 411047, Maharashtra, India


DOI: https://doi.org/ima.v2i2.6833


Keywords: development administration; AI; decision-making forms


Abstract

This paper presents a prescient investigation system for development destinations utilizing fake insights (AI) advances. The essential center of this inquire about is to create prescient models that use AI calculations to expect and moderate potential dangers and optimize development forms. Key components of the venture incorporate information collection from development destinations, highlight designing, demonstrate preparing, and assessment. Different machine learning and AI strategies are utilized to analyze chronicled information, distinguish designs, and figure future occasions such as extend delays, material deficiencies, and security risks. The proposed system points to upgrade decision-making forms in development administration by giving noteworthy experiences inferred from data-driven prescient analytics.


References

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4.Hosseini, M. R., & Lee, S. (2018). Predicting project duration and cost using network-based models. Automation in Construction.

5.Kam, M., & An, H. (2018). Predicting construction cost contingency with artificial neural networks. Journal of Construction Engineering and Management.

6.Lu, Y., Shen, Q., & Wu, C. (2007). Using ANFIS to estimate the project cost of construction projects. Automation in Construction.

7.Rahmani, R., & Behzadan, A. H. (2016). Predicting construction project duration using Bayesian belief networks. Automation in Construction.

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