AIMC Topic: Safety Management

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Application of deep learning in behavior recognition and early warning system for campus safety management.

PloS one
Campus safety is an essential concern as schools, colleges, and universities work to create secure environments for students, staff, and visitors. Many existing security systems are not fully effective at detecting unusual behaviors or sending fast a...

A HAZOP-based hazard identification model for urban gas accidents: Development and empirical validation.

PloS one
Urban gas accidents pose significant threats to public safety and urban infrastructure, with traditional hazard identification methods often relying on manual inspections and experience-based judgments, leading to incomplete or inconsistent results. ...

Solicitude toward artificial intelligence among health care providers and its relation to their patient's safety culture in Saudi Arabia.

BMC health services research
BACKGROUND: The healthcare sector is undergoing a digital transformation, where the integration of Artificial Intelligence (AI) plays a vital role in reshaping healthcare practices. AI technologies promise to improve work procedures, mitigate future ...

Early warning of deep coal miners' unsafe behavior based on the HFACS-CM-BP neural network.

International journal of occupational safety and ergonomics : JOSE
Preventing miners' unsafe behavior and reducing accidents in deep coal mines are crucial. This study comprehensively used methods such as the human factor analysis and classification system for China mines (HFACS-CM) model, grounded theory and the ba...

Operational safety risk modeling in a naval organization.

Journal of safety research
INTRODUCTION: Following numerous mishaps and near-misses, the U.S. Naval Surface Force established the Operational Surface Risk Indicators (OSRI) project to explore a robust proactive risk analysis and reduction capability. The OSRI model leverages m...

Visualizing what's missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction.

Journal of safety research
INTRODUCTION: In the construction industry, where safety is paramount, the frequency and severity of workplace incidents remain critical concerns. Therefore, site safety inspections have become essential for health and safety programs. While incident...

Risk assessment with the fuzzy Fine-Kinney method in a business operating in the metal industry.

International journal of occupational safety and ergonomics : JOSE
Occupational risk assessment involves examining and ranking the risks and hazards in a production or service facility, focusing on workplace health and safety. This study aims to address the deficiencies of traditional methods by applying a fuzzy log...

Multi-label material and human risk factors recognition model for construction site safety management.

Journal of safety research
INTRODUCTION: Construction sites are prone to numerous safety risk factors, but safety managers have difficulty managing these risk factors for practical reasons. Moreover, manually identifying multiple risk factors visually is challenging. Therefore...

Daily planning conversations and AI: Keys for improving construction culture, engagement, planning, and safety.

American journal of industrial medicine
The construction industry is known for its inherent risks, contributing to ~170,000 workplace injuries and illnesses annually in the United States. Engaging in prejob safety discussions presents a crucial chance to safeguard workers by proactively re...

When tomorrow comes: A prospective risk assessment of a future artificial general intelligence-based uncrewed combat aerial vehicle system.

Applied ergonomics
There are concerns that Artificial General Intelligence (AGI) could pose an existential threat to humanity; however, as AGI does not yet exist it is difficult to prospectively identify risks and develop requisite controls. We applied the Work Domain ...