Weld defect detection is a crucial aspect for improving the productivity and quality of the
welding process. Several non-destructive methods exist for the identification of defects post …

Featured Application 1. The hybrid machine learning (HML) classifier can easily classify the
subjects (healthy and bruxism), sleep stages (w and REM), and both with high accuracy. 2 …

Electroencephalograms (EEGs) play an important role in analyzing different mental tasks
and neurological disorders. Hence, they are a critical component for designing various …

In this work, we propose a wearable cardiorespiratory monitoring sensor, the WaveFlex
sensor, which incorporates a flexible wave-shaped polymer optical fiber. The stretchable …

We describe the characterization and removal of noises present in the Inertial Measurement
Unit (IMU) MPU-6050, which was initially used in an attitude sensor, and later used in the …

The movement of eyeballs and eye blinks produces ocular artifacts in the
electroencephalogram (EEG) signal during recording. It is necessary to filter out these …

Specific Emitter Identification (SEI) detects the individual emitter according its varied signal
characteristics. The method operates in the physical layer of the internet and can effectively …

Objective: The purpose of this paper was to study the applicability of paradigms with motion
forms for use in a brain-computer interface (BCI). We examined the performances of different …

Objective Complexity and lack of standardization have mostly limited the use of event-
related potentials (ERPs) and quantitative EEG (QEEG) biomarkers in drug development to …

In recent years, unmanned aerial vehicles (UAV) or drones have become ubiquitous in our
daily lives, bringing great convenience to our lives and playing a pivotal role in future …