A mathematical model for cost budget optimization in the early stage of house construction budget analysis-Reference-Cited by-同舟云学术

A mathematical model for cost budget optimization in the early stage of house construction budget analysis

Published:2022-02-22 Issue:3 Volume:25 Page:839-849
ISSN:0972-0502
Container-title:Journal of Interdisciplinary Mathematics
language:en
Short-container-title:Journal of Interdisciplinary Mathematics

Author:

Malathi S.¹,Kumar Ankit²,Venkatesan R.³,Sundar Naveen³,Athigiri Arulalan A. S.⁴,Ambeth Kumar V. D.⁴,Priya R.¹,Sharma Shilpa⁵,Raja Linesh⁵

Affiliation:

1. Department of Artificial Intelligent and Data Science, Panimalar Engineering College, Anna University, Chennai 600123, India

2. Department of Computer Engineering & Application, GLA University, Mathura 281406, Uttar Pradesh, India

3. Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, Tamil Nadu, India

4. Department of Computer Science and Engineering, Panimalar Engineering College, Anna University, Chennai 600123, India

5. Department of Computer Applications, Manipal University Jaipur, Rajasthan 303007, India

Publisher

Taru Publications

Subject

Applied Mathematics,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720502.2021.2017596

Reference10 articles.

1. A Framework for Real-Time Construction Project Progress Tracking

2. Cost simulation in an item-based project involving construction engineering and management

3. Critical Success Factors for Different Project Objectives

4. Cost Effective Techniques Uses In Modern Construction Projects

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of a Mathematical Model Based on the Big Data Information Platform;Application of Big Data, Blockchain, and Internet of Things for Education Informatization;2023

2. A survey on software defect prediction – A review;SUSTAINABLE DEVELOPMENTS IN MATERIALS SCIENCE, TECHNOLOGY AND ENGINEERING: Sustainable Development in Material Science of Today Is the Innovation of Tomorrow;2023

3. Prediction and analysis of sepsis by using machine learning algorithms (Xg boost & light GBM);SUSTAINABLE DEVELOPMENTS IN MATERIALS SCIENCE, TECHNOLOGY AND ENGINEERING: Sustainable Development in Material Science of Today Is the Innovation of Tomorrow;2023