Induction motors (IMs) are one of the most widely used motor types in the industry due to
their low cost, high reliability, and efficiency. Nevertheless, like other types of AC motors …

Deep learning (DL) has demonstrated remarkable achievements in various fields.
Nevertheless, DL models encounter significant challenges in detecting and defending …

Most classification models for Alzheimer's Diagnosis (AD) do not have specific strategies for
individual input samples, leading to the problem of easily overlooking personalized …

The IoMT (Internet of Medical Things) has allowed for uninterrupted, critical patient
observation, improved diagnosis precision, and efficient therapy. However, despite the …

The production process of lithium batteries is intricate, involving the coordination of various
types of equipment. The stability and precision of double roller press equipment directly …

IIoT sensor data plays a pivotal role in monitoring the industrial system's health and
identifying potential faults. However, traditional fault detection approaches often face …

An accurate ensemble learning (EL) based hybrid empirical model for gallium nitride high
electron mobility transistors (GaN HEMTs) is presented in this paper. The EL is used to …

Air compressors are used as a power source in many industries, but they are likely to
malfunction during use. However, traditional methods such as fault analysis and judgment …

Most classification models for Alzheimer's Diagnosis (AD) do not have specific strategies for
individual input samples, leading to the problem of easily overlooking personalized …