Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

In the railway industry, a significant amount of data is stored in the textual format. The
advanced development of natural language processing and text mining techniques enable …

To clarify the risk factors and propagation characteristics affecting railway safety, we learn
from historical reports to build a connected network of hazards and accidents, forming a …

Drawing lessons from past accidents is an essential way to improve the operational safety of
railways. Various railway operational accidents and their related hazards constitute a …

Hot work accidents have significant consequences. Admittedly, preventing hot work
accidents requires managers to analyze the accident profoundly and learn from the requisite …

Accident databases are used to learn from past accidents and avoid future accidents in the
chemical process industry. Classical accident databases can be tedious to use because the …

Underlying information about failure, including observations made in free text, can be a
good source for understanding, analyzing, and extracting meaningful information for …

Safety occurrence reports can contain valuable information on how incidents occur,
revealing knowledge that can assist safety practitioners. This paper presents and discusses …

Project construction on-site is known to be very dangerous workplace environments due to
large numbers of safety hazards. Analysis of construction safety hazards is essential to …