Chaos Theory–Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation-Reference-Cited by-同舟云学术

Chaos Theory–Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation

Published:2018-03 Issue:3 Volume:144 Page:04018001
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Shrestha Prabhat¹,Behzadan Amir H.²

Affiliation:

1. M.S. Student, Dept. of Construction Science, Texas A&M Univ., 3137 TAMU, College Station, TX 77843.

2. Clark Construction Endowed Associate Professor, Dept. of Construction Science, Texas A&M Univ., 3137 TAMU, College Station, TX 77843 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001441

Reference55 articles.

1. Research in Modeling and Simulation for Improving Construction Engineering Operations

2. Akhavian R. and Behzadan A. H. (2013). “Design requirements of an automated data-driven simulation model generator for construction operations.” Proc. Int. Conf. on Civil and Building Engineering Informatics (ICCBEI) Asian Group for Civil Engineering Informatics Osaka Univ. Osaka Japan 114–124.

3. Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers

4. Smartphone-based construction workers' activity recognition and classification

5. Akhavian R. Brito L. and Behzadan A. (2015). “Integrated mobile sensor-based activity recognition of construction equipment and human crews.” Proc. Conf. on Autonomous and Robotic Construction of Infrastructure Iowa State Univ. Ames IA 1–20.

Cited by 13 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. A science mapping lens on discrete event simulation applications in construction engineering and management;Automation in Construction;2024-10

2. Applications of digital twin technology in construction safety risk management: a literature review;Engineering, Construction and Architectural Management;2024-03-22

3. Compliance checking for cross-border construction logistics clearance using blockchain smart contracts and oracles;International Journal of Logistics Research and Applications;2024-03-11

4. Noise Removal for the Steady-State Pressure Measurements Based on Domain Knowledge of Water Distribution Systems;Journal of Water Resources Planning and Management;2024-03

5. Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach;Journal of Construction Engineering and Management;2022-08