Long short-term memory (LSTM) has been widely applied to real-time automated natural
gas leak detection and localization. However, LSTM approach could not provide the …

Examining and analyzing the role of breakpoints in carbon price prediction can help people
better understand the carbon market's structural changes to carry out technological …

Learning from past mistakes is crucial to prevent the reoccurrence of accidents involving
dangerous substances. Nevertheless, historical accident data are rarely used by the …

The electric power industry is a high-risk industry with frequent accidents. To ensure the life
safety of employees and reduce the probability of accidents, it is necessary to utilize certain …

Learning from the past is essential to improve safety and reliability in the chemical industry.
In the context of Industry 4.0 and Industry 5.0, where Artificial Intelligence and IoT are …

Workplace accidents can cause a catastrophic loss to the company including human injuries
and fatalities. Occupational injury reports may provide a detailed description of how the …

Risk management is crucial for the safety of offshore platforms. With advancements in safety
management, much data on hidden dangers has been generated. The data contains a …

Abstract The HAZOP (Hazard and Operability) study is one of the most well-known
approaches in process hazard analysis. The HAZOP study is a systematic procedure a …

An emergency evacuation order might be issued in response to a railway incident involving
hazardous materials (hazmat), such as the February 2023 derailment at Palestine, Ohio …

Coal chemical enterprises have many risk factors, and the causes of accidents are complex.
The traditional risk assessment methods rely on expert experience and previous literature to …