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

Clutaxis: An information-driven source search method balancing exploration and exploitation in turbulent environments

Locating unknown emission sources in turbulent environments is a challenging yet crucial task, particularly in emergency response scenarios. Existing studies have developed information-theoretic approaches...

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Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing

Audio steganography techniques are evaluated using performance metrics such as payload capacity, stego audio file quality, and security (imperceptibility of hidden data). Increasing payload capacity...

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The value of a statistical life in assessing seismic resilience enhancement policies: A stated preference binary choice experiment

To decide about investments in appropriate seismic vulnerability reduction and resilience enhancement measures, policymakers need to acquire adequate insight into the value of a statistical life (VSL)....

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SH17: A dataset for human safety and personal protective equipment detection in manufacturing industry

Workplace accidents continue to pose significant human safety risks, particularly in the construction and manufacturing industries. The necessity for effective Personal Protective Equipment (PPE) compliance...

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Cost-aware strategies for enhancing energy resilience in microgrids via stationary and mobile resources

The primary goal of this research study is to enhance energy resilience with a focus on cost efficiency. To achieve this objective, two key objectives have been identified: (1) reducing unserved loads,...

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Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters

•The multiple disasters are divided into three different scenarios.•The model takes into account both the demand urgency and road damage.•The demand urgency are quantified through the analysis of five...

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Spatio-temporal prediction of terrorist attacks based on GCN-LSTM

Terrorist attacks represent a significant threat to national order, social stability, and economic security. Accurate prediction of such attacks is a critical task for casualty reduction, enhanced decision-making,...

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Urban Road Collapse Risk Assessment Based on the Extended xLSTM Network

Rapid urbanization has substantially increased the complexity of urban underground spaces. This complexity leads to frequent road collapse incidents that pose significant threats to the safety and property...

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Quantitative Resilience Assessment on Critical Infrastructures – A systematic literature review of the last decade (2014-2024)

The everyday functioning of infrastructures and the capacity of their owners to provide high-quality services are critical to the well-being of communities and societies. When disruptions endanger society's...

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Integrating Rational and Emotional Risk Management: A Stepwise Approach and Practical Implications

Decisions in complex systems need support from formal risk management. Traditional risk management, based on a "rational" idea of risk (the actual damage linked with probabilities), often diverges from...

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Vehicle-augmented evacuation integer programming model for improving safety and efficiency in underground mines

Ensuring the safe evacuation of miners during fire emergencies in the shortest possible time is one of the most critical aspects of underground mining operations. Despite advances in mining evacuation...

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Intelligent emergency assisted decision-making method based on standard digitalization: Hazardous chemical accidents in industrial parks

Contemporary society is confronted with multifaceted challenges, and the intricate interplay of interconnected factors significantly complicates emergency response efforts. Current practices rely on...

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Novel explicit models for assessing the frictional resistance of pipe piles subjected to seismic effects

This paper introduces novel explicit models to predict the frictional resistance of open and closed-ended pipe piles subjected to seismic loading. This research employs genetic programming (GP) and...

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Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations

In the immediacy of an event that disrupts the operation of an infrastructure, the time between its occurrence and the arrival of qualified personnel for emergency response can be valuable. For example,...

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An experimental study of fire development under varying ventilation conditions during the depressurization process in pressurized buildings

Hermetic pressurized buildings are a new type of building in high-altitude areas that efficiently addresses issues such as high-altitude reactions. The indoor pressure is higher than the external pressure...

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Grasping emergency dynamics: A review of group evacuation techniques and strategies in major emergencies

Major sudden disasters, such as floods, earthquakes, and fires, often cause significant casualties. Emergency evacuation is crucial in mitigating these impacts. Different types of disaster incidents...

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Effects of firefighters’ protective gloves on physiological responses, psychological responses, and manual performance in a cold environment

This study aimed to investigate the effects of firefighters' protective gloves on physiological responses, psychological responses, and manual performance in a cold environment through human trials....

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A systematic review of safety risk assessment research in China

The rapid industrialization and urbanization in China require a high level of safety management and thus urge the development of safety risk assessment in China. In the past two decades, many safety...

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An efficient and resilience linear prefix approach for mining maximal frequent itemset using clustering

The numerous volumes of data generated every day necessitate the deployment of new technologies capable of dealing with massive amounts of data efficiently. This is the case with Association Rules,...

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A data fusion-based method for pedestrian detection and flow statistics across different crowd densities

Accurate tracking and statistics analysis of pedestrian flow have wide applications in public scenarios. However, the conventional tracking-by-detection approaches are prone to missing individuals in...

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Analysis of fire evacuation scenarios in children's cultural centers

Fires that occur in assembly buildings cause great loss of life and property. Children's cultural centers included in assembly buildings should also be evaluated within this context. Children create...

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Evaluation of the Underground Space Safety Resilience of Chinese Urban Agglomerations Based on the "Stress-State-Response":A Case Study of Underground Rail Transit in 26 Cities

Urban underground space disasters exhibit characteristics including complex causal mechanisms and high risk. They also present unpredictability and risk coupling amplification. Differences in underground...

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Evaluation of the Cognitive Performance of Nuclear Power Plant Operators Using Heart Rate Variability Under Hot-Humid Exposure

•Comparison of humidity 60%, 70%, 80%, and 90% on cognitive performance.•VLF could be a reliable indicator of cognitive performance in hot-humid exposure.•HRV indicators have a significant impact on...

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JMoE-FAP: A Novel Model for telecom Network Fraud Victimization Pattern Analysis

A comprehensive examination of the victimization process, coupled with the development of effective preventive strategies, represents the most promising approach for mitigating telecom network fraud....

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An improved multi-velocity cellular automaton model that considers psychological impatience

The cellular automaton (CA) model is an essential tool for studying pedestrian evacuation dynamics; moreover, improving simulations of actual evacuation environments and increasing the reliability of...

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