Microplastics enriched with carcinogens like heavy metals, polycyclic aromatic
hydrocarbons (PAHs), and their derivatives are ubiquitous in Arctic waters. They …

The identification and implementation of effective safety barriers represent the core aim of
any safety management process. Safety barriers, whether physical and/or non-physical …

Recent years have witnessed a drastic surge in natural language processing (NLP), which is
a popular research orientation in artificial intelligence. In contrast to precise numbers …

Dynamic processes in various fields exhibit risk coupling phenomena, but existing risk
analysis studies tend to ignore the risk coupling effects of dynamic scenarios. Considering …

Road crashes have been internationally recognized as one of the main causes of death. On
one hand, in Europe, many governments are struggling with the ambitious target of zero …

This work proposes a systematic procedure for analyzing maintenance reports to support
maintenance decision-making for a fleet of similar systems. The proposed procedure allows …

Structured data, such as sensor data, can provide valuable insights to safety practitioners for
developing prevention and mitigation strategies. However, relying on a single data source …

Many practical disaster reports are published daily worldwide in various forms, including
after-action reports, response plans, impact assessments, and resiliency plans. These …

An enhanced deep learning model for identifying faults in chemical processes, referred to as
the Wide First-layer Kernel Improved Deep Convolutional Neural Network (WDCNN), has …

Complex risk factors make metro construction safety accidents prone to occur, and there are
various types of accidents. Accident reports record detailed information about different types …