Fault diagnosis plays a significant role in conducting condition-based maintenance and
health management for gas turbines (GTs) to improve reliability and reduce costs. Various …

Object detection is one of the most challenging tasks in computer vision. With the advances
in semiconductor devices and chip technology, hardware accelerators have been widely …

Computed tomography (CT) scans, or radiographic images, were used to aid in the early
diagnosis of patients and detect normal and abnormal lung function in the human chest …

Overlooked diseases in agriculture severely impact crop growth, which results in significant
losses for farmers. Unfortunately, manual field visits for plant disease diagnosis (PDD) are …

Effective user authentication is key to ensuring equipment security, data privacy, and
personalized services in Internet of Things (IoT) systems. However, conventional mode …

The widespread use of IoT devices has led to the generation of a huge amount of data and
driven the need for analytical solutions in many areas of human activities, such as the field of …

Applying neural network (NN) on edge devices is crucial for intelligent measurement.
However, the limited memory resource is one of the main challenges for deploying NN with …

The technology development greatly increases the amount of digital visual information.
Existing devices cannot efficiently process such huge amounts of data. The technical …

Recent popularity to realize image recognition by memristor-based neural network hardware
systems has been witnessed owing to their similarities to neurons and synapses. However …

Echo state network (ESN) as a novel artificial neural network has drawn much attention from
time series prediction in edge intelligence. ESN is slightly insufficient in long-term memory …