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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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Emergency scenario modeling for the analysis of dynamic risks in business parks

This study is novel, as it aims to generate an emergency scenario model for the analysis of dynamic risks in business parks to help decision-makers provide an optimal response in any emergency. To this...

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Multi-scale characterization of industrial infrastructure vulnerability to multiple hazards in their territories

Directive 2022/2557 from the European Commission aims to enhance the resilience of critical entities in Europe by integrating with existing European legislation, but it lacks explicit guidance on addressing...

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Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model

Accurate crime prediction is crucial for the proactive allocation of law enforcement resources and ensuring urban safety. A major challenge in achieving accurate predictions lies in identifying generalized...

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A comprehensive review of bibliometric and methodological approaches in flood mitigation studies: Current trends and future directions

Climate change has become a pressing concern, with an alarming increase in flooding events posing significant risks to residential areas worldwide. As land and infrastructure development rapidly evolve,...

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Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks

Aviation transport infrastructure is key to international commerce and cultural exchange, with any emergency potentially causing major impacts on contemporary society. With advancements in technology...

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Risk forecasting for shortfalls in achieving sustainable development goals: A corruption perspective

•The association between corruption and sustainability is explored through the lens of risk science.•A BBN model is developed to explore dependencies between corruption risk and 17 SDG risks.•Two datasets...

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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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DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model

Driver behavior is a critical factor in road safety, highlighting the need for advanced methods in Distracted Driving Classification (DDC). In this study, we introduce DDC-Chat, a novel classification...

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Development of a framework for safety and resilience in overhead power cables: Use of a fuzzy inference system for risk and reliability analysis

Ensuring the safety, resilience, and reliability of overhead low-voltage (LV) and medium-voltage (MV) power cables in aging infrastructure is vital for maintaining essential services and mitigating...

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Urban community exposure risk assessment for industrial asbestos cement roofing: Coupled GIS and computer vision-based approach

Legacy asbestos in built up urban areas poses a risk of exposure to the surrounding community through environmental exposure pathways. Better understanding the exposure risk in-situ asbestos containing...

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DLW-CI: A Dynamic Likelihood-Weighted Cooperative Infotaxis Approach for multi-drone cooperative multi-source search

Drones have gradually been employed to search for unknown sources during leakage accidents. However, current studies have mainly focused on the single-source search problem, while in practical situations,...

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Assessment of velocity variation algorithms in evacuation models with heterogeneously distributed factors

This study investigates the impact of velocity variation algorithms on evacuation simulations using two movement models: the Floor Field Cellular Automata (FFCA) model and the Natural Step Length Floor...

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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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