Automated Material Separation Activity Identification for Sustainable Demolition Operations-Reference-Cited by-同舟云学术

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Automated Material Separation Activity Identification for Sustainable Demolition Operations

Published:2024-03-18 Issue: Volume:38 Page:981-990
ISSN:
Container-title:Construction Research Congress 2024
language:
Short-container-title:

Author:

Jalloul Hiba¹¹¹²³,Alshami Ahmad¹¹¹²³,Nickdoost Navid¹¹¹²³,Moon Jinyeong¹¹¹²³,Choi Juyeong¹¹¹²³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Florida A&M Univ.-Florida State Univ. College of Engineering, Tallahassee, FL. ORCID: .

2. Assistant Professor, Dept. of Electrical and Computer Engineering, Florida A&M Univ.-Florida State Univ. College of Engineering, Tallahassee, FL. ORCID: .

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Florida A&M Univ.-Florida State Univ. College of Engineering, Tallahassee, FL. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485262.100

Reference21 articles.

1. Application of Low-Cost Accelerometers for Measuring the Operational Efficiency of a Construction Equipment Fleet

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

3. A Systematic Comparison of Supervised Classifiers

4. Circular economy in the construction industry: A systematic literature review

5. Automated excavators activity recognition and productivity analysis from construction site surveillance videos

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