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ISSN: 2666-4496
CN: 10-1656/X
p-ISSN: 2096-7527

TSE-Tran: Prediction method of telecommunication-network fraud crime based on time series representation and transformer

Telecom network fraud has become the most common and concerning type of crime and is an important public security incident that threatens urban resilience. Therefore, preventing a continuous rise in...

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AIGC challenges and opportunities related to public safety: A case study of ChatGPT

Artificial intelligence generated content (AIGC) is a production method based on artificial intelligence (AI) technology that finds rules through data and automatically generates content. In contrast...

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Civil gas energy accidents in China from 2012–2021

•Time and location distribution characteristics of 6063 gas accidents were analysed.•Causes, types and their correlations of 2746 gas accidents were analysed.•Proposed grade classification method for...

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Data-driven sparse polynomial chaos expansion for models with dependent inputs

Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs by decomposing the output in terms...

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Underground storage tank blowout analysis: Stability prediction using an artificial neural network

Most geotechnical stability research is linked to “active” failures, in which soil instability occurs due to soil self-weight and external surcharge applications. In contrast, research on passive failure...

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Resilience assessment model for urban public transportation systems based on structure and function

Urbanization and the increasing frequency of extreme climates affect the sustainability of urban public transportation systems, and improving resilience is one of the primary directions for sustainable...

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Blockchain for public safety: A survey of techniques and applications

As an emerging technology, blockchain provides a range of advantages, such as decentralized and transparent data storage, secure access control, and enhanced data traceability. However, it is rarely...

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Artificial intelligence empowering research on loneliness, depression and anxiety — Using Covid-19 as an opportunity

The COVID-19 pandemic has had a profound impact on public mental health, leading to a surge in loneliness, depression, and anxiety. And these public psychological issues increasingly become a factor...

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Re-emergence of Ebola virus disease in Uganda: Should Southeast Asia countries be worried?

An outbreak of Ebola virus disease (EVD) (Sudan virus) was first reported in the Republic of Uganda on September 20, 2022. As of November 17, 2022, 151 confirmed cases have been reported, including...

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A study on predicting crisis information dissemination in epidemic-level public health events

Crisis information dissemination plays a key role in the development of emergency responses to epidemic-level public health events. Therefore, clarifying the causes of crisis information dissemination...

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Data-driven decision-making model for determining the number of volunteers required in typhoon disasters

Volunteer teams provide valuable support after large-scale disasters. However, excessive volunteer participation poses challenges for formal operations. Therefore, an appropriate decision-making method...

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Readiness of financial resilience in start-ups

Financial resilience refers to a start-up's capacity to anticipate, plan for, respond to, and adapt to gradual change and abrupt unforeseen shocks to survive and thrive by enacting appropriate economic...

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Research on the security of China's oil resources supply based on the objective weight method

With the rapid development of China's economy, external dependence on petroleum resources continues to increase, and their security has become an important part of national security. To evaluate the...

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An MCDM approach to assessing influential factors on healthcare providers’ safe performance during the COVID-19 pandemic: Probing into demographic variables

This study assessed the influence of occupational stress, individual resilience, and organizational resilience on the safety performance of healthcare providers during the COVID-19 pandemic. Demographic...

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A dynamic task assignment model for aviation emergency rescue based on multi-agent reinforcement learning

China's natural disaster situation presents a complex and severe scenario, resulting in substantial human and material losses as a result of large-scale emergencies. Recognizing the significance of...

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Early smoke and flame detection based on transformer

Fire-detection technology plays a critical role in ensuring public safety and facilitating the development of smart cities. Early fire detection is imperative to mitigate potential hazards and minimize...

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Study on the influencing factors of piecewise multi-strain crossover epidemic spread under data contamination

The ongoing impact of the novel coronavirus disease 2019 (COVID-19) on work and daily life persists as we transition from emergency to normal circumstances. The continuous mutation of viral strains...

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Eye movement evidence in investigative identification based on experiments

Investigative identification is a routine criminal investigative procedure, the results of which can be used as evidence in litigation. However, some suspects often deny their involvement in the case,...

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Resilience in action: The bottom up! architecture festival in Turin (Italy)

This article describes the practice of co-evolutionary and transformative resilience through a case study conducted in Turin (Italy). According to a broad definition, resilience includes performing...

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Emergency evacuation in a supermarket during a terrorist attack: towards a possible modelling of the influence of affordances on the evacuation behavior of agents in a complex virtual environment

During a terrorist attack on a supermarket, the use of emergency exits is essential for effective evacuation and saving lives. However, people tend to ignore emergency situations. This behavior can...

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Test the effectiveness of building safety guidance signs in a T-junction corridor based on eye movement data

Evacuation signs are a key factor in the effectiveness of occupants’ urgent escape from buildings. Different sign features may have disparate impacts on individual and crowd behavior. This study aims...

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Study on smoke propagation in tunnel construction of a hydropower station: A full-scale fire experiment

In this study, full-scale fire experiments were conducted in a hydropower station to investigate smoke propagation during tunnel construction. The flame height, smoke temperature and stratification,...

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Quantitative scenario construction of typical disasters driven by ontology data

This study introduces a quantitative scenario-building method for analyzing emergency scenarios based on ontological methods and the EOC (element-object-consequence) model. The ontological structure...

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Hazard prediction of coal and gas outburst based on the Hamming distance artificial intelligence algorithm (HDAIA)

Currently, coal mining faces the uncertainty of the risk of coal and gas outbursts and inaccurate prediction results. Owing to this, an artificial immune algorithm (AIA) was developed for coal and gas...

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The role of emergency incident type in identifying first responders’ health exposure risks

Fire-based emergency management service (EMS) personnel are dispatched to various incidents daily, many of which have unique occupational risks. To fully understand the variability of incident types...

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