A pipeline of constant data streams is being built by the Internet of Things (IoT) to monitor
information about the physical environment. In parallel, Artificial Intelligence (AI) is …

Data-driven Fault Detection and Isolation (FDI) systems receive a lot of attention from
researchers. Several recent applications utilize acoustic signals recorded on-board of the …

Noise in a communication system degrades the signal level at the receiver, and as a result,
the signal is not properly recovered or eliminated at the receiver side. To avoid this, it is …

In this study, we present a general form of nonlinear two-time-scale systems, where singular
perturbation analysis is used to separate the dynamics of the slow and fast subsystems …

The use of directly modulated lasers (DMLs) is attractive in low-power, cost-constrained
short-reach optical links. However, their limited modulation bandwidth can induce waveform …

Data-driven approaches have gained interest recently in the field of wind energy. Data-
driven online estimators have been investigated and demonstrated in several applications …

Abstract We design four Artificial Neural Network (ANN) models, namely a Multilayer
Perceptron (MLP), a Convolutional Neural Network (CNN), an Extreme Learning Machine …

Ground penetrating radar (GPR) systems are effective sensors for discovering various types
of objects buried underground, such as military mines, metal objects, and pieces of …

Modulation scheme and power control simultaneously impact the performance of integrated
data and energy transfer (IDET). Therefore, some efforts have been invested in deep …

Industrial cyber-physical systems (ICPS) are widely employed in supervising and controlling
critical infrastructures (CIs), with manufacturing systems that incorporate industrial robotic …