Commercial applications of artificial intelligence and machine learning have made
remarkable progress recently, particularly in areas such as image recognition, natural …

(1) Background: Chaos, a feature of nonlinear dynamical systems, is well suited for
exploring biological time series, such as heart rates, respiratory records, and particularly …

In this study, a deep learning algorithm based on the you-only-look-once (YOLO) approach
is proposed for the quality inspection of printed circuit boards (PCBs). The high accuracy …

In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the
past many models and different approaches have been implemented in the quality …

Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable.
Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain …

One of the most challenging predictive data analysis efforts is an accurate prediction of
depth of anesthesia (DOA) indicators which has attracted growing attention since it provides …

This paper reviews various nonlinear analysis methods for physiological signals. The
assessment is based on a discussion of chaos-inspired methods, such as fractal dimension …

Monitoring the depth of anesthesia using an electroencephalogram (EEG) is a major
ongoing challenge for anesthetists. The EEG is a recording of brain electrical activity, and it …

Methods and systems incorporating non-linear dynamic (NLD) analysis such as entropy or
other complexity analysis monitoring continuous or evoked signals from a biological subject …

According to a recently conducted survey on surgical complication mortality rate, 47% of
such cases are due to anesthetics overdose. This indicates that there is an urgent need to …