Applications and technologies of the Internet of Things are in high demand with the increase
of network devices. With the development of technologies such as 5G, machine learning …

Principal component analysis (PCA) is used to reduce the dimensionalities of high-
dimensional datasets in a variety of research areas. For example, biological …

Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …

Exciting advances in technologies to measure biological systems are currently at the
forefront of research. The ability to gather data along an increasing number of omic …

Abstract Surface Electro-MyoGraphic (sEMG) signals recorded on the forearm can provide
information about the hand movement, which can help control a prosthetic implant for …

Durable interest in developing a framework for the detailed structure of glassy materials has
produced numerous structural descriptors that trade off between general applicability and …

Abstract Background and Motivation Functional gradients have been used to study
differences in connectivity between healthy and diseased brain states, however this work …

Abstract Successful applications of Diffusion Map (DM) in machine failure detection and
diagnosis have been reported in several recent studies. DM provides an efficient way to …

Modern vehicles rely on scores of electronic control units (ECUs) broadcasting messages
over a few controller area networks (CANs). Bereft of security features, in-vehicle CANs are …

Predictive maintenance (PdM) within asset management improves savings in operational
cost, productivity, and safety management capabilities. While PdM can be administered …