NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction
Steel structure buildings are widely favored for their environmental friendliness and exceptional performance. However, traditional methods of quality risk factor assessment are limited by subjectivity and inefficiency. To address this, our study introduces a natural language processing (NLP) model...
Saved in:
| Main Authors: | Yuhong Zhao, Jingyi Zhang, Enyi Mu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/14/11/3493 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PROSPECTS OF IMPLEMENTING STEEL FRAMES IN MULTIFAMILY RESIDENTIAL CONSTRUCTION
by: Maksym Anatoliiovych Kostiuchenko, et al.
Published: (2025-01-01) -
Shear behavior of prefabricated steel–concrete connectors in prefabricated steel–concrete composite beams
by: Fengli Zhou, et al.
Published: (2025-03-01) -
Research on automatic processing system of financial information in colleges and universities based on NLP-KG fusion algorithm
by: Jin Lei, et al.
Published: (2025-12-01) -
Shear behavior of transverse UHPC wet joint in prefabricated bridge deck with confining stress
by: Jinlong Jiang, et al.
Published: (2025-12-01) -
NLP modeling recommendations for restricted data availability in clinical settings
by: Fabián Villena, et al.
Published: (2025-03-01)