The transition to smart grids has served to transform traditional power systems into
datadriven power systems. The purpose of this transition is to enable effective energy …

In response to the numerous challenges faced by traditional human pose recognition
methods in practical applications, such as dense targets, severe edge occlusion, limited …

Smart grid represents an advanced and interconnected system that incorporates modern
technologies to enhance efficiency, reliability and sustainability. In comparison to the …

State-of-the-art smart cities have been calling for economic but efficient energy management
over a large-scale network, especially for the electric power system. It is a critical issue to …

Smart grids, pivotal in modern energy distribution, confront a mounting cybersecurity threat
landscape due to their increased connectivity. This study introduces a novel hybrid deep …

The decarbonisation of electricity generation requires the real-time monitoring and control of
grid components in order to efficiently and timely dispatch demand. This highly automated …

This study evaluates the effectiveness of technology-assisted interventions in the treatment
of anxiety and depression. With the increasing prevalence of mental health disorders …