Classical computer vision in MATLAB — automated parachute segmentation (mean Dice 0.924) and from-scratch Kalman-filter object tracking (3.14 px / 1.07°). Classical image analysis in MATLAB — ...

Abstract: Brain-Computer Interfaces (BCI), cognitive research, and medical diagnosis all make extensive use of electroencephalography (EEG) to analyze brain activity. However, issues with EEG signal ...

The exploration of DNA-binding proteins (DBPs) is an important aspect of studying biological life activities. Research on life activities requires the support of scientific research results on DBPs.

This demo shows how to detect the crack images using one-class SVM. In anomaly detection, normal images can be obtained a lot, while the anomaly images are not frequenctly obtained; we cannot get ...

Epilepsy is a serious hazard to human health. Minimally invasive surgery is currently an extremely effective treatment to refractory epilepsy. However, it is challenging to localize the lesion for ...

We aimed to investigate the ability of machine learning (ML) techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging to ...

1 College of Information and Communication Engineering, Al-Nahrain University, Baghdad, Iraq. 2 Al-Nahrain University, Baghdad, Iraq. Fingerprint identification and recognition are considered popular ...

Abstract: This paper presents a technique of fault feature extraction, detection and classification of short circuit faults in a power distribution network. A reduced 88 kV power distribution network ...