Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 19, 2024
Language: Английский
Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 19, 2024
Language: Английский
Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 102975 - 102975
Published: Jan. 1, 2025
Language: Английский
Citations
3Information Processing & Management, Journal Year: 2024, Volume and Issue: 62(1), P. 103923 - 103923
Published: Oct. 18, 2024
Language: Английский
Citations
7Information Sciences, Journal Year: 2024, Volume and Issue: 681, P. 121215 - 121215
Published: July 23, 2024
Language: Английский
Citations
4Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 271, P. 126662 - 126662
Published: Jan. 30, 2025
Language: Английский
Citations
0Information Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 122047 - 122047
Published: March 1, 2025
Language: Английский
Citations
0Computers & Electrical Engineering, Journal Year: 2025, Volume and Issue: 123, P. 110232 - 110232
Published: March 15, 2025
Language: Английский
Citations
0Engineering Construction & Architectural Management, Journal Year: 2025, Volume and Issue: unknown
Published: March 20, 2025
Purpose Insufficient attention to the building’s structural safety conditions has led loss of life and property as well disastrous social impacts. Although some countries or regions have developed building management policies, they seem lack a solid decision-making basis efficiency. To address this, this paper aims establish data-driven framework achieve economic, efficient accurate safety. Design/methodology/approach This proposes novel for hierarchical using machine learning approaches. A case study in Chongqing, China, is adopted demonstrate its application prove feasibility. The considers database, prediction safety, iteration. Findings results indicate effectiveness proposed framework, which facilitates an existing condition limited fundamental information, allowing design that encompasses structure, mechanisms measures. Furthermore, iteration introduced allow continuous improvement adaptation over time. Practical implications By introducing actions could be taken distinguished buildings, optimizing resource allocation enhancing engineering maintenance. also offers practical guidance decisions regarding new construction. Originality/value provides valuable insights research practice intelligent cost-effective buildings contributes urban renewal.
Language: Английский
Citations
0Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 113047 - 113047
Published: March 1, 2025
Citations
0Structural Control and Health Monitoring, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Jan. 1, 2025
To ensure a safe environment for occupants, evaluating the physical status and service performance of existing buildings is essential. However, large‐scale building condition assessment usually relies on expertise judgment inspectors, which can be costly laborious due to unclear priorities, ambiguous procedures, ineffective operations. address these challenges, this study proposes an explainable machine learning‐based screening model anomalous safety among buildings, narrowing down scope requiring further detailed inspection monitoring. Initially, imbalanced dataset 18,090 survey reports unsafe labels collected. Then, synthetic minority oversampling technique (SMOTE) conducted balance dataset. Subsequently, seven learning models are trained utilizing 10‐fold cross‐validation with grid search. Findings reveal that, based balanced dataset, ensemble significantly better than that individual models. Specifically, XGBoost achieves highest performance, macro‐F1 98.49%, G‐mean value accuracy 98.49%. The final predictive (the SMOTE‐based model) explained using SHapley Additive exPlanations (SHAP). Service year, structure, location three most important features influencing structural safety. This represents promising approach automated optimizing resource allocation, enhancing effectiveness in decision‐making construction maintenance.
Language: Английский
Citations
0Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 113301 - 113301
Published: June 1, 2025
Language: Английский
Citations
0