Deep Learning-Based Image Steganography for Visual Data Cybersecurity in Construction Management-Reference-Cited by-同舟云学术

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Deep Learning-Based Image Steganography for Visual Data Cybersecurity in Construction Management

Published:2024-10 Issue:10 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Chen Chen¹,Zhang Yongpan²,Xiao Bo³^ORCID,Cheng Mingzhou²,Zhang Jun²,Li Heng⁴^ORCID

Affiliation:

1. School of Civil Engineering and Architecture, Zhejiang Univ. of Science and Technology, Hangzhou 310023, China.

2. Research Associate, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong.

3. Assistant Professor, Dept. of Civil, Environmental, and Geospatial Engineering, Michigan Technological Univ., Houghton, MI 49931 (corresponding author). ORCID: .

4. Chair Professor, Dept. of Building and Real Estate, Hong Kong Polytechnic Univ., Hung Hom, Kowloon, Hong Kong. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-14718

Reference53 articles.

1. Automatic vision-based calculation of excavator earthmoving productivity using zero-shot learning activity recognition

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

3. Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships

4. Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification

5. Automated defect inspection of concrete structures

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