Identification and risk assessment of hazards using classic methods have various flaws,
such as ambiguity and uncertainty in the data, inability to correctly reflect the human thinking …

This study aimed to propose a novel method for dynamic risk assessment using a Bayesian
network (BN) based on fuzzy data to decrease uncertainty compared to traditional methods …

Chemical process industries (CPIs) face significant safety and security risks that are closely
intertwined. However, previous research has predominantly examined these risks …

Non-routine activities such as startup, shutdown, maintenance, and operation
commissioning require increased human interaction with the corresponding process. Owing …

Intelligent and green wearable technology becomes essential for new modern societies.
This work introduces a multi criteria decision making model to properly assess and compare …

Community public service facilities have a primary supportive role in the health of the
elderly. Under the background of global aging, it has become vital to evaluate the elderly …

Reliable and resilient power transmission networks serve as vital for sustainable
development and uninterrupted electricity supply. Effective maintenance programs are …

To address the issues of low efficiency and high complexity of detection models for electric
power workers in distribution rooms, the electric power worker identification approach is …

As one of the important energy industries, the safe production of coal mines not only
concerns the safety of employees, but also affects the sustainable development of society …

This paper addresses important concerns unique to network privacy in energy distribution
systems by presenting a transdisciplinary framework that integrates transdisciplinary tools …