Due to the advances in the digitalization process of the manufacturing industry and the
resulting available data, there is tremendous progress and large interest in integrating …

Increasing power demand, aging distribution systems and concerns towards greenhouse
gas emissions have resulted in the increased occurrence of distributed generation (DG) …

Prognostics and health management is an emerging discipline to scientifically manage the
health condition of engineering systems and their critical components. It mainly consists of …

As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …

Demand-side management technology is a key element of the proposed smart grid, which
will help utilities make more efficient use of their generation assets by reducing consumers' …

Rolling element bearings are widely used in various industrial machines, such as electric
motors, generators, pumps, gearboxes, railway axles, turbines, and helicopter …

Precise traffic flow prediction is a central component of advancing intelligent transportation
systems, providing essential insights for optimizing traffic management, reducing travel …

Chemical sensor technologies with appropriate chamber design influence the kinetic
adsorption of exhaled breath. Moreover, emphasize on feature extraction from breathprint …

Entropy, as a complexity measure, has been widely applied for time series analysis. One
preeminent example is the design of machine condition monitoring and industrial fault …

Abstract Accurately predicting Sea Surface Temperature (SST) and Wind Speed (WS) in the
Red Sea is crucial for maritime safety, climate research, and ecosystem monitoring …