安全科学与韧性(英文)Pub Date : 2026-06-01Epub Date: 2025-09-02DOI: 10.1016/j.jnlssr.2025.100251
Wencong Ye , Jinjiang Wang , Zhenqiang Wei , Zheng Wang , Laibin Zhang
{"title":"SIL assessment of safety instrumented systems in oil and gas stations based on STPA-Bow-tie","authors":"Wencong Ye , Jinjiang Wang , Zhenqiang Wei , Zheng Wang , Laibin Zhang","doi":"10.1016/j.jnlssr.2025.100251","DOIUrl":"10.1016/j.jnlssr.2025.100251","url":null,"abstract":"<div><div>The growing imperative for safe and intelligent operation of long-distance oil and gas pipeline systems has led to increased deployment of interlock systems at processing stations, but their reliability and compliance are difficult to guarantee. To achieve process hazard analysis (PHA) and safety integrity level (SIL) assessment in complex hazardous scenarios of oil and gas stations, this paper presents a safety instrumented system (SIS) SIL assessment method based on a combination of system theory, process analysis and the Bow-tie model (STPA-Bow-tie). First, the boundary of the station process system is determined, and unsafe control actions (UCAs) and their key causes are identified based on the hierarchical control structure model of the oil and gas stations. Then, the element mapping relationship among STPA, layers of protection analysis (LOPA), and Bow-tie is proposed, and the Bow-tie model based on Simulink is constructed to realize LOPA, so as to quantify the required risk reduction factor (RRF) and determine the target SIL level of the safety instrument function (SIF). Finally, a Markov model verifies the safety integrity of the interlock circuit. Taking the SIL assessment of an SIS system in a certain oil transfer station as an example, the proposed method demonstrates equivalent SIL determination accuracy to the traditional HAZOP-LOPA method while providing 24 % higher analytical precision and superior visualization of multi-cause/consequence coupling in complex hazard scenarios.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 2","pages":"Article 100251"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-06-01Epub Date: 2025-07-16DOI: 10.1016/j.jnlssr.2025.100230
Xiaoyu Sun , Yifei Ding , Zhichao He , Xinyan Huang
{"title":"Awareness analysis via Weibo social media data of major fire disasters","authors":"Xiaoyu Sun , Yifei Ding , Zhichao He , Xinyan Huang","doi":"10.1016/j.jnlssr.2025.100230","DOIUrl":"10.1016/j.jnlssr.2025.100230","url":null,"abstract":"<div><div>Fire, a globally significant hazard, has a detrimental impact on lives, property, and socio-economic development. Public attention to fires is crucial for building fire safety under the current disaster-driven regulation development. This study employs Chinese social media (Sina Weibo) data to analyze several major domestic and overseas fire incidents and explore the corresponding public awareness. Case studies analyze three groups, (1) building facade fire: the 2010 Shanghai Jing’an fire and the 2017 Grenfell Tower fire of London, (2) ancient building fire: the 2014 Shangri-La fire and the 2019 Notre-Dame de Paris fire, and (3) wildland-urban interface (WUI) fire: the 1987 Daxing’anling wildfire and the 2025 Southern California wildfire. The results show that these major fires attract varying levels of attention due to factors like fire location, losses, associated social issues, and subsequent developments. Comparison between fire events in China and overseas reveals that the Chinese internet pays more attention to overseas fire events. Compared to earthquakes and floods, major fire incidents generally receive less attention due to the scale of their influence and the intensity of media coverage. Social media data and analysis also suggest that measures such as publishing articles and conducting educational activities can increase public attention to past fires and pre-disaster fire safety awareness. This work helps understand the impact of major fire incidents on social media and the public’s evolving reactions and offers practical measures and suggestions for stakeholders to improve fire safety and mitigate fire losses.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 2","pages":"Article 100230"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-06-01Epub Date: 2025-09-06DOI: 10.1016/j.jnlssr.2025.100255
Tong Xu , Xiaole Dai , Kai Wang , Fazheng Chong , Fengju Shang , Chang Liu
{"title":"Study on combustion characteristics of cables with spacing arrangement under different external radiation conditions","authors":"Tong Xu , Xiaole Dai , Kai Wang , Fazheng Chong , Fengju Shang , Chang Liu","doi":"10.1016/j.jnlssr.2025.100255","DOIUrl":"10.1016/j.jnlssr.2025.100255","url":null,"abstract":"<div><div>A series of experiments was conducted to explore the influence of cable spacing on combustion characteristics in real cable installation, considering various external radiation intensities (30, 50 kW/m<sup>2</sup>) and cable spacings (0, 2.5, 5 cm). A comparative analysis of the combustion characteristics (such as heat release rate (HRR), combustion gas, and mass loss) was conducted, and the HRR calculation for cables that were not fully filled in the sample tray was revised as well. It could be found that with the increasing radiation intensities, the peak concentrations of CO and CO₂ increased (O₂ concentration decreased), and the interval between the two peaks shortened. The HRR curves of cables with different spacings all presented two peaks under two radiation intensities. The max-peak HRR occurs at <em>D<sub>d</sub></em> = 2.5 cm, and the double max-peak HRRs are 582 kW/m<sup>2</sup> and 407 kW/m<sup>2</sup> under radiation intensities of 50 kW/m<sup>2</sup> and 35 kW/m<sup>2</sup>, respectively. This is because when <em>D<sub>d</sub></em> = 0 cm, the thermal feedback effect between cables is relatively enhanced, while the air entrainment between the cables is weakened. When <em>D<sub>d</sub></em> = 5 cm, the thermal feedback effect is weakened. When <em>D<sub>d</sub></em> = 2.5 cm, both the air entrainment and the thermal feedback are strengthened, and the peak HRR occurs. The above results could provide data to support fire safety design and the emergency response to cable laying.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 2","pages":"Article 100255"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-06-01Epub Date: 2025-09-11DOI: 10.1016/j.jnlssr.2025.100265
Qian Yang, Feiyue Wang, Zihuan Wang, Bo Ma, Jiajie Lu, Leiwei Li
{"title":"The impact of inaccurate supply-demand types for emergency supplies on the psychological pain of victims: Data from flood disasters in China","authors":"Qian Yang, Feiyue Wang, Zihuan Wang, Bo Ma, Jiajie Lu, Leiwei Li","doi":"10.1016/j.jnlssr.2025.100265","DOIUrl":"10.1016/j.jnlssr.2025.100265","url":null,"abstract":"<div><div>After a disaster, due to transportation constraints, transportation priority setting, emergency resource shortage and imprecise assessment of emergency resources, it is easy to cause an inaccurate match between the types of supply and demand for emergency resources. It aggravates the psychological pain of the victims. To address this gap, combining descriptive analysis, correlation analysis, and regression analysis, the mechanisms and internal pathways of imprecise emergency material supply-demand type on psychological pain were comprehensively examined. Based on Maslow's hierarchy of needs theory, four priority levels for emergency material types are proposed. A survey questionnaire was designed using the Numerical Rating Scale (NRS), which included 12 scenarios. Nine typical waterlogging sites in Changsha, Hunan Province, China, were selected as field survey sites, and 162 valid samples were collected through face-to-face interviews. The results show that: (1) Emergency material types have a significant impact on psychological pain, and this impact is related to the priority level of the material types. (2) The impact of the matching degree of emergency material supply-demand types on psychological pain is moderated by the priority level of the demanded material types, exhibiting a reverse compensation effect. (3) The impact of demographic factors on the degree of psychological pain experienced by victims shows complex differences. Most surprisingly, the higher the monthly income is, the more difficult it is to accept the inaccurate supply-demand of emergency supplies. Because high-income people have higher expectations for quality of life, their psychological pain is more obvious.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 2","pages":"Article 100265"},"PeriodicalIF":3.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-03-01Epub Date: 2025-08-24DOI: 10.1016/j.jnlssr.2025.100249
Elizabeth Amorkor Okine , Esmaeil Zarei , Brian J. Roggow , Naser Dehghan
{"title":"Evolution of human factors research in aviation safety: A systematic review and bibliometric analysis of the intellectual structure","authors":"Elizabeth Amorkor Okine , Esmaeil Zarei , Brian J. Roggow , Naser Dehghan","doi":"10.1016/j.jnlssr.2025.100249","DOIUrl":"10.1016/j.jnlssr.2025.100249","url":null,"abstract":"<div><div>Despite the multitude of research endeavors dedicated to Human Factors (HF) in aviation safety, a comprehensive review remains conspicuously scarce. Accordingly, this study presents the first in-depth systematic review and bibliometric analysis of the vital role played by HF in enhancing the safety and reliability of air transportation. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, we scrutinized the Scopus dataset spanning from 1937 to late 2023. A rigorous screening process was applied to identify relevant documents, ultimately subjecting critical analyses of 1663 documents to address four foundational research questions within HF associated with aviation safety. First, our analysis delves into the identification of key areas of emphasis that have characterized HF in the aviation industry since 1937. By tracing the trajectory of research over time, the study aims to discern the evolution of HF within the aviation context. Furthermore, an exploration of primary challenges and knowledge gaps crucial to research is highlighted, with proposed pathways for future investigations to maximize their impact on air transportation safety. Finally, the study extends its inquiry to compare the existing landscape of human reliability research within the aviation sector with that of Nuclear Power Plants (NPPs) and the Chemical Process Industry (CPI). This holistic approach to understanding HF not only contributes valuable insights into aviation safety but also contextualizes these findings within broader industrial frameworks, revealing the key gaps that exist in human reliability within the aviation industry. The outcomes of this study underscore the indispensable role of HF in establishing and advancing safer and more resilient air transportation systems.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100249"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge and practice of earthquake management among apartment dwellers: A case study of Jakarta City, Indonesia","authors":"Fatmah , Irene Sondang Fitrinitia , Sumiaty Ambran","doi":"10.1016/j.jnlssr.2025.100225","DOIUrl":"10.1016/j.jnlssr.2025.100225","url":null,"abstract":"<div><div>Urban city apartments and flat dwellers face increasing threats from earthquakes, and the current understanding and implementation of earthquake risk reduction techniques in high-rise housing communities remain lacking. Therefore, this study examined the relationships between earthquake management practices and demographic characteristics, vertical housing features, earthquake management knowledge, and emergency response plans. The research employed a cross-sectional study design and included 215 participants from 14 selected apartments. The findings indicated that (1) earthquake management practices vary among individuals aged 35–54, types of dwelling units, dwelling sizes, numbers of rooms, those who have resided in an apartment for 3–5 years, emergency response plans, and knowledge regarding earthquake management (before, during, and after); (2) earthquake management knowledge levels (including mitigation and self-rescue knowledge during an earthquake) are low; (3) emergency response and earthquake management practices are insufficient; and (4) apartment dwellers with moderate knowledge levels of earthquake self-rescue are 12.2 times more likely to have moderate earthquake management practices than those without (OR = 12.2, <em>p</em> = 0.000). The study recommends that the National Disaster Management Authority and the Jakarta City Disaster Risk Reduction Forum collaborate with building managers to develop an annual earthquake mitigation programme to enhance knowledge levels regarding earthquake risk reduction.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100225"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-03-01Epub Date: 2025-08-07DOI: 10.1016/j.jnlssr.2025.100245
Cong Lu , Jianjun She , Hezhi Pan , Zihao Guo , Xuanling Zhou , Zhijian Li
{"title":"Optimizing urban infrastructure resilience: Analyzing cascading failures and critical node dependencies through multilayer network models","authors":"Cong Lu , Jianjun She , Hezhi Pan , Zihao Guo , Xuanling Zhou , Zhijian Li","doi":"10.1016/j.jnlssr.2025.100245","DOIUrl":"10.1016/j.jnlssr.2025.100245","url":null,"abstract":"<div><div>As urbanization and industrialization progress, urban infrastructure systems grow increasingly complex, heightening their vulnerability to cascading failures from natural disasters and human-induced disruptions. Strengthening the resilience of these systems is critical for sustainable urban development and sustaining residents’ quality of life. This study introduces a novel framework to analyze cascading failure propagation within infrastructure networks. Utilizing the implicit interdependency model, we construct a multilayer network that delineates interconnections and dependencies across infrastructure sectors. The PageRank algorithm is used to identify critical nodes by evaluating their network centrality, thereby highlighting key components within the system. Through simulations of random, PageRank-based, and betweenness-based attack scenarios, we explore failure dynamics and their propagation patterns. Additionally, we evaluate mitigation strategies, with the community periphery augmentation strategy proving most effective, enhancing resilience by linking peripheral nodes between communities. This research systematically connects the significance of key nodes to cascading effects, uncovering vulnerabilities and providing actionable insights for disaster response and recovery planning.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100245"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-03-01Epub Date: 2025-09-04DOI: 10.1016/j.jnlssr.2025.100253
Lin Zhang , Qichen Wang , Yanjun Guo , Xiangliang Tian , Lin Qi
{"title":"Construction and application of knowledge graph for urban agglomeration emergency rescue collaboration in earthquake disasters","authors":"Lin Zhang , Qichen Wang , Yanjun Guo , Xiangliang Tian , Lin Qi","doi":"10.1016/j.jnlssr.2025.100253","DOIUrl":"10.1016/j.jnlssr.2025.100253","url":null,"abstract":"<div><div>This study proposes an emergency rescue collaboration knowledge graph construction method for urban agglomeration in earthquake disasters. Based on the collection of 22 earthquake disaster emergency plans published on the official websites of multiple cities in the Chengdu-Chongqing urban agglomeration in China, earthquake disaster emergency rescue data from the Red Cross Society of Sichuan Province and Chongqing City, and historical rescue information from the China Blue Sky rescue team, this study defines and extracts six types of entities including rescue entities, policy documents, rescue actions, rescue information, rescue supplies, and emergency response levels. A knowledge graph pattern layer is established using a hybrid approach of top-down and bottom-up, including concept layer, relationship layer, rule layer, and instance layer. This study extracts earthquake disaster emergency rescue collaboration knowledge information from collected data sources, and YEDDA software is used for knowledge fusion, thus constructing a knowledge graph data layer. The data is stored in the Neo4j graph database as triplets (entity-relation-entity). Visual representation and retrieval are used to achieve the query, association, and inference of emergency rescue collaboration information for urban agglomeration in earthquake disasters. The 2022 Luding earthquake disaster in Ganzi Tibetan Autonomous Prefecture, China is selected as a typical case, and verified the effectiveness and reliability by inputting the case into the emergency rescue collaboration knowledge graph which was constructed in this study. The results indicate that the constructed knowledge graph provides intelligent decision support for earthquake disaster emergency rescue collaboration in urban agglomeration, effectively improves the performance of earthquake disaster emergency rescue, and provides new ideas and methods for earthquake disaster rescue and reduction.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100253"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145362247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine learning for occupational accident analysis: Applications, challenges, and future directions","authors":"Izuchukwu Chukwuma Obasi, Pericles Cheng, Cleo Varianou-Mikellidou, Christos Dimopoulos, Georgios Boustras","doi":"10.1016/j.jnlssr.2025.100250","DOIUrl":"10.1016/j.jnlssr.2025.100250","url":null,"abstract":"<div><div>Machine learning (ML) drives progress in occupational accident prevention across diverse sectors. However, significant challenges persist in aligning these tools with practical safety needs, including accurate risk assessment, incident prediction, and targeted prevention strategies. While prior reviews focused narrowly on specific industries or data types, this study presents a comprehensive analysis of ML models in accident analysis, categorizing them by accident type, industry application, and modeling methodology. This study addresses critical challenges in ML model development—such as data quality, hyperparameter tuning, and managing class imbalances—and examines less-discussed topics, including explanatory variable selection and strategies for mitigating overfitting. This review thoroughly assesses the current state of ML-based accident prediction, highlighting critical gaps, methodological limitations, and potential research directions. By analyzing 504 studies across three perspectives—Accident Type, Industry Application, and Modeling Methodology—this review identifies pressing challenges, including (1) limitations in data quality and availability, especially for real-time sources; (2) inadequate model interpretability across applications; (3) difficulties in handling imbalanced accident datasets; and (4) the lack of an integrated framework for incorporating proactive data and industry-specific risk factors. The findings outline a roadmap for advancing ML in occupational safety by enhancing model robustness, improving interpretability, and expanding data sources. This review aims to better align ML applications with safety objectives, promoting data-driven approaches for effective accident analysis and prevention across industries.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100250"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2026-03-01Epub Date: 2025-06-26DOI: 10.1016/j.jnlssr.2025.03.004
Zekun Zhou , Hongyang Zhao , Xingdong Li , Yi Liu , Tao Jiang , Jing Jin , Yanan Guo
{"title":"High-performance fire detection framework based on feature enhancement and multimodal fusion","authors":"Zekun Zhou , Hongyang Zhao , Xingdong Li , Yi Liu , Tao Jiang , Jing Jin , Yanan Guo","doi":"10.1016/j.jnlssr.2025.03.004","DOIUrl":"10.1016/j.jnlssr.2025.03.004","url":null,"abstract":"<div><div>Fire detection technology has become increasingly critical in the context of rising global fire threats and extreme weather conditions. Traditional methods rely on single-modal sensors and conventional image processing techniques and often struggle with complex environmental variations and background interference. This study proposes an innovative multimodal fire detection framework that integrates advanced deep learning techniques to address these limitations. By leveraging a comprehensive approach that combines YOLOv8-based object detection, HSV color space enhancement, completed local binary pattern (CLBP) texture analysis, and a novel dynamic feature enhancement module (DFEM), the proposed method significantly improves fire detection accuracy and robustness. This research introduces a sophisticated multimodal fusion strategy that systematically processes fire-related features across multiple domains. A key innovation is the cross-modality fusion Mamba (CMFM) module, which employs efficient channel attention (ECA) and an efficient 2D-selective scan module (E2DSM) to dynamically integrate and refine features from different modalities. Experimental validation was conducted on a dataset that we collected, which was supplemented by data collected via real-world robotic image acquisition in diverse environments, including forests, corridors, and outdoor settings. The proposed method demonstrated exceptional performance, with a precision of 96.4%, a recall of 95.7%, and an overall accuracy of 95.8%, outperforming state-of-the-art models such as VGG16, ResNet50, YOLOv5, and YOLOv8. Ablation studies further validated the contribution of each module and highlighted the framework’s robust feature enhancement and fusion capabilities.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100212"},"PeriodicalIF":3.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}