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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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Association analysis of causative factors of fall from height accidents

Working at height is widespread across various industries, with frequent and hazardous falls occurring regularly. Such tasks are often linked to multifactorial issues, where the interplay of diverse...

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Systematic Literature Review of Ergonomic Evaluation Methods in the Mining Sector (2015–2024)

Musculoskeletal disorders (MSDs) in the mining sector are frequently associated with exposure to ergonomic risk factors, leading to decreased productivity and increased absenteeism. This study presents...

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Study on emergency evacuation guidance in the subway station hall

In recent years, with continued urbanization, subway stations with complex structures have developed rapidly, posing serious challenges to daily crowd management and emergency evacuation safety. A social...

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An analysis of relationships between occupational injury, job satisfaction and turnover intention among stone, sand, and gravel mine workers

Stone, sand, and gravel mining accounts for 80% of all mining operations. Maintaining a skilled labor force is essential for this large and growing mining sector. Occupational injuries negatively impact...

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Resilience assessment of public health system at multi-levels: An emergency management capacity quantification model for pandemic response

Facing the global pandemic of coronavirus disease 2019 (COVID-19), countries and regions have implemented different policies and non-pharmacological interventions (NPIs) according to their circumstances....

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Community Vulnerability to Cyclones: An Empirical Evidence from Rural India to Improve Resilience

India experiences various natural disasters each year, leaving communities with significant consequences. The eastern coast, particularly Odisha, is the most cyclone-prone region globally. Rural and...

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TriFireNet: A multi-stage framework for robust real-time fire and smoke detection

This study presents TriFireNet, a modular framework designed to address the challenges of smoke and fire detection in complex and dynamic environments. TriFireNet efficiently captures multiscale variability,...

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The value of structured occupational safety data and cluster analysis: a case study from the Italian National Surveillance System

The collection and analysis of accident data are crucial steps towards the application of effective preventive measures in the occupational safety context. The analysis of work-related accidents/injuries...

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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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