InerSens: A Block-Based Programming Platform for Learning Sensor Data Analytics in Construction Engineering Programs-Reference-Cited by-同舟云学术

InerSens: A Block-Based Programming Platform for Learning Sensor Data Analytics in Construction Engineering Programs

Published:2024-09 Issue:3 Volume:30 Page:
ISSN:1076-0431
Container-title:Journal of Architectural Engineering
language:en
Short-container-title:J. Archit. Eng.

Author:

Khalid Mohammad¹^ORCID,Akanmu Abiola²^ORCID,Afolabi Adedeji³,Murzi Homero⁴^ORCID,Awolusi Ibukun⁵^ORCID,Agee Philip⁶^ORCID

Affiliation:

1. Ph.D. Student, Construction Engineering and Management, Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA 24061 (corresponding author). ORCID: .

2. Associate Professor, Construction Engineering and Management, Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA 24061. ORCID: .

3. Research Associate, Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA 24061.

4. Associate Professor, Dept. of Engineering Education, Virginia Tech, Blacksburg, VA 24061. ORCID: .

5. Assistant Professor, School of Civil and Environmental Engineering, and Construction Management, Univ. of Texas, San Antonio, TX 78249. ORCID: .

6. Assistant Professor, Myers-Lawson School of Construction, Virginia Tech, Blacksburg, VA 24061. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JAEIED.AEENG-1758

Reference71 articles.

1. Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges;Abioye S. O.;J. Build. Eng.,2021

2. Cyber-physical postural training system for construction workers;Akanmu A. A.;Autom. Constr.,2020

3. Akanmu, A. A., V. S. Akligo, O. R. Ogunseiju, S. W. Lee, and H. Murzi. 2022. “Data analytics and computational thinking skills in construction engineering and management education: A conceptual system.” In Proc., Construction Research Congress 2022, 204–213. Reston, VA: ASCE.

4. Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers;Akhavian R.;Adv. Eng. Inf.,2015

5. Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX);Alizadehsalehi S.;Smart Sustainable Built Environ.,2021