All of the articles in this proceedings volume have been presented at the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026) during April 24-26, 2026 in Wuhan, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers...

Urban development faces the problem of traffic congestion as one of its major challenges. The conventional approaches to signal control work well in the context of optimization at a single point but do not scale well to large road networks or more complicated environments in which dynamics occur. Recently,...

Cultural heritage, which has cultural and historical value, is important and plays an important role in human society. In recent years, many challenges have effect the protection pf cultural heritage. New pressures were brought by rapid urban expansion and frequent natural disasters to heritage conservation....

As a core and key component of trains, electrical cabinets have dense internal equipment and a closed, narrow space. Once a fire breaks out, the fire spreads extremely quickly, which will pose a serious threat to the safe operation of the train and may even trigger major safety accidents. To effectively...

With the acceleration of urbanization, BRT, Autonomous rail transit and tram have been widely adopted for their core advantages such as short construction cycle, less infrastructure investment, strong urban adaptability and outstanding comprehensive transportation capacity[1]. However, the signal system...

With the rapid development of mobile internet technologies, the e-commerce industry has undergone profound structural and operational transformations. To achieve sustainable growth, e-commerce enterprises must enhance their market competitiveness, improve operational efficiency, and deliver high-quality...

This study investigates the complex mechanisms and configurational pathways leading to online public opinion reversal in sudden public incidents involving local governments. Drawing upon Collaborative Governance Theory and Public Opinion Life Cycle Theory, a three-dimensional analytical framework was...

Multivariate time series (MTS) anomaly detection is a core task for ensuring system reliability in industrial AIOps. Traditional methods typically rely on reconstruction or prediction errors, which often fail to capture complex data distributions. This paper reviews the transition of detection paradigms...

Since the concept of supply chain risk has received widespread attention, supply chain risk management has become a key topic of academic discussion. This study focuses on the literature analysis of supply chain risk management. VOSviewer software was used to conduct a bibliometric analysis of the literature...

Generative artificial intelligence has introduced new computational tools for creative design, yet systematic workflows for integrating these technologies into design education remain limited. This paper proposes an AI-assisted design framework that combines generative models and digital garment simulation...

Elderly depression, often underdiagnosed due to subtle symptoms, diminishes quality of life. This study develops a detection model using ensemble learning on multidimensional features of older adults from the China Family Panel Studies (CFPS). The dataset includes over 1,200 variables, with depression...

With the accelerated intelligent transformation of global port, the low-cost and high-efficiency intelligent upgrading of brownfield ports, which account for more than 98% of ports worldwide, has become the core pathway for industry development. However, current research indicates that most brownfield...

The acceleration of urbanization in China has led to a rapid increase in the number of underground garages. Due to the low road adhesion coefficient in these environments, the risk of collision accidents is significantly higher. To enable a more specialized evaluation of Autonomous Emergency Braking...

Against the backdrop of increasing global supply chain uncertainty and frequent disruptive events, this study takes Cotti Coffee (Enterprise A) as the research object and constructs a supply chain resilience evaluation system comprising four dimensions and 25 secondary indicators. An integrated IT2TrFN-DEMATEL-MMDE-ISM-MICMAC...

As veterans play a vital role in national defense, their social adaptation and well-being are critical issues in social governance. Based on data from the CFPS 2022, this study employs hierarchical linear regression analysis to examine the impact of four types of social trust—in parents, neighbors, local...

Thermal imaging technology, with its advantages of early warning capabilities, all-weather operation, and non-contact monitoring, has gradually become a core technology for fire prevention and control. This article systematically analyzes the application value of thermal imaging technology in forest...

With the advancement of digital and intelligent transformation, the working environment of field engineers is increasingly characterized by diverse UI scenarios. Using CNKI and WoS literature as data sources and VOSviewer for keyword analysis, this study reveals a disconnection between China’s policy-driven...

Against the backdrop of the dual carbon strategy, low-carbon transition in Liaoning Province is highly urgent. From the perspective of industrial heterogeneity, this study divides Liaoning’s industries into high energy-intensive and high-emission sectors and low energy-intensive and low-carbon sectors....

In response to the challenges faced in Safety Production Supervision during the digital and intelligent transformation of dry bulk terminals—such as data silos, reactive responses, inflexible systems, and poor coordination—this paper proposes and constructs a framework for an “Intelligent and Collaborative...

This paper focuses on the application of low-carbon technologies throughout the entire lifecycle of prefabricated buildings. By analyzing the carbon emission characteristics in the design, production, construction, operation, and demolition stages, it comprehensively explores the low-carbon technology...

With the rapid development of the air transport industry, multi-runway airports are facing a sharp increase in operational pressure. Reliance on manual decision-making and a lack of scientific basis for runway operation modes result in low resource utilization and severe flight delays. To improve operational...

Amid accelerating digital transformation, commercial banks face challenges in credit risk management due to multi-source, unstructured data. Traditional models relying on human experience and static indicators are insufficient for real-time risk identification. Taking a city commercial bank in western...

Accurate road crack detection plays a vital role in traffic safety and infrastructure maintenance. However, mainstream deep learning-based detection models suffer from high computational costs and are difficult to deploy on resource-constrained edge devices. This paper proposes FDKDNet, a lightweight...

This paper examines thematic framing and sentiment in Xinjiang reporting by mainstream media in the United Kingdom and the United States from 2013 to 2025. Based on a balanced corpus of 1,800 news articles drawn from six major media outlets, the study employs a large language model (LLM) to conduct article-level...

As a representative resource-constrained small and medium-sized city in northern Guangdong within the Lingnan region, Qingyuan faces a core challenge in heritage digital twin deployment that is not technical feasibility itself, but how to determine which heritage units should receive priority investment...

The convergence of next-generation information technology and manufacturing has created new pathways for enterprises to achieve intelligent transformation in process monitoring. However, the integration of massive heterogeneous data and the improvement of cross-system coordination efficiency remain key...

Industrial software serves as the foundational infrastructure of the industrial system. Its advancement toward high-end, self-sufficiency capabilities has become a crucial pathway for driving high-quality industrial transformation and accelerating the emergence of new productive forces. However, China’s...

Using students from a higher vocational college in the context of industry–education integration as the research subjects, this study employed the revised Maslach Burnout Inventory–Student Survey (MBI-SS) to assess the status and risk factors of psychological fatigue. SPSS 22.0, Origin 25.0, and Excel...

Under the macro background of the steady realization of China’s “double carbon” goal and the acceleration of digital intelligence construction in the natural gas industry, the current natural gas sales field has not yet formed a systematic quantitative evaluation method for the applicability of the standard...

The high-tech industry is a core driver of high-quality regional economic development, and the scientific rigor of its statistical and monitoring work directly impacts the precision of policy formulation. This paper systematically reviews domestic and international practices in the statistics and monitoring...

After China entered the stage of deep aging, long-term care insurance, as an important institutional innovation for addressing aging in China, has been expanded to 49 cities since its pilot program in 2016.Methods: This study summarizes the practical situations of long-term care insurance fund raising...

To address the difficulty of priority decision-making in ancient book restoration under resource constraints, this study proposes a scientific and efficient dynamic decision-making method. A restoration priority model based on monotone submodular optimization, namely MOSM, is constructed to incorporate...