When abnormal event occurs, operator should diagnose the plant status to decide the
response operation which is required to mitigate the effect of the event. There are over 80 …

As one of the innovative researches in the nuclear field, Advanced Modular Nuclear
Systems (AMNS) has been wild concerned and paid more attention to the maintenance and …

To fulfill state grid Industry's demands for smart and digitized business growth, traditional
technological approaches have fallen short. Artificial intelligence (AI) technology enables …

Over the last decades, safety requirements have become of primary concern. In the context
of safety, several strategies could be pursued in many engineering fields. Moreover, many …

Supervisory control and data acquisition (SCADA) systems are used with monitoring and
control purposes for the process not to fail in industrial control systems. Today, the increase …

Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

Data analytics applied to nuclear power operations and nuclear safeguards is in a nascent
state, yet some significant initial efforts are being undertaken by industry and academia. This …

As artificial intelligence (AI) becomes more sophisticated in imitating human cognitive
processes (eg, problem solving, object detection, and learning), it has transformed several …

Automatic Machine Learning (AutoML) is also an exploratory region that has procured
almost all complexes recently. However, the different methodologies followed by specialists …

This paper proposes a nuclear power plant monitoring system using drones. Existing
surveillance systems have a disadvantage in that manpower is wasted due to the blind spots …