Explainable Image Captioning to Identify Ergonomic Problems and Solutions for Construction Workers-Reference-Cited by-同舟云学术

Explainable Image Captioning to Identify Ergonomic Problems and Solutions for Construction Workers

Published:2024-07 Issue:4 Volume:38 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Yong Gunwoo¹,Liu Meiyin²,Lee SangHyun³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., Ann Arbor, MI 48109.

2. Assistant Professor, Dept. of Civil and Environmental Engineering, Rutgers Univ., 500 Bartholomew Rd., Piscataway, NJ 08854.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., Ann Arbor, MI 48109 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCCEE5.CPENG-5744

Reference55 articles.

1. ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses;AlAfnan M. A.;J. Artif. Intell. Technol.,2023

2. Albers, J. T., and C. F. Estill. 2007. Simple solutions: Ergonomics for construction workers. Washington, DC: National Institute for Occupational Safety and Health.

3. Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta A. B.;Inf. Fusion,2019

4. Image augmentation to improve construction resource detection using generative adversarial networks, cut-and-paste, and image transformation techniques

5. Beddiar D. M. Oussalah and S. Tapio. 2022. “Explainability for medical image captioning.” In Proc. 2022 Eleventh Int. Conf. on Image Processing Theory Tools and Applications (IPTA) 1–6. New York: IEEE.