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Real-Time Construction Safety Monitoring with Object Detection Algorithms: Features’ Identification and Implementation Challenges Cover

Real-Time Construction Safety Monitoring with Object Detection Algorithms: Features’ Identification and Implementation Challenges

Journal of Applied Engineering Sciences
Volume 15 (2025): Issue 1 (May 2025)
By: Amr A. Mohy,  Hesham A. Bassioni,  Elbadr O. Elgendi and  Tarek M. Hassan  
Open Access
|May 2025

Authors

Amr A. Mohy

A.El-Deen5146@student.aast.edu

Construction and Building Engineering Department, Arab Academy for Science and Technology and Maritime Transport, Egypt

Hesham A. Bassioni

hbassioni@aast.edu

Construction and Building Engineering Department, Arab Academy for Science and Technology and Maritime Transport, Egypt

Elbadr O. Elgendi

elbadrosman@aast.edu

Construction and Building Engineering Department, Arab Academy for Science and Technology and Maritime Transport, Egypt

Tarek M. Hassan

T.Hassan@Lboro.ac.uk

School of Architecture, Building and Civil Engineering, Loughborough University, United Kingdom
DOI: https://doi.org/10.2478/jaes-2025-0017 | Journal eISSN: 2284-7197
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Language: English
Page range: 135 - 144
Submitted on: Jan 13, 2025
Accepted on: Feb 3, 2025
Published on: May 19, 2025
Published by: University of Oradea, Civil Engineering and Architecture Faculty
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
construction safety management,
real-time monitoring,
deep learning,
safety monitoring,
questionnaire Survey,
features identification
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Electrical engineering,
Energy engineering,
Geosciences,
Geodesy,
Geosciences, other

© 2025 Amr A. Mohy, Hesham A. Bassioni, Elbadr O. Elgendi, Tarek M. Hassan, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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