In these modern days, digital images become prominent information on the Internet and
Social Media. The images can have a number of features with many secrets. To get these …

Neuroimaging data driven machine learning based predictive modeling and pattern
recognition has been attracted strongly attention in biomedical sciences. Machine learning …

Abstract Machine learning applied to digital pathology has been increasingly used to assess
kidney function and diagnose the underlying cause of chronic kidney disease (CKD). We …

This article analyzes the algorithms of computer vision, the features of the application of
augmented reality technology and existing software modules, frameworks and libraries. The …

The production rate of crops is significantly declining due to natural disasters, animal
interventions and plant diseases. Internet of things (IoT) and wireless sensor networks are …

At present, most of the perceptual hash methods for image copyright protection rely on
manually designed feature extraction and mapping, whose detection accuracy is insufficient …

Visual object tracking is among the most attractive topics in various applications of vision
system. Target objects' appearance often drastically changes over time therefore Object …

We propose a novel principal component analysis (PCA)-based image denoising framework
motivated by the fact that the PCA along with patch groups (PGs) can produce better …

A real‐time deep‐learning model is proposed to classify the volume of cuttings from a shale
shaker on an offshore drilling rig by analyzing the real‐time monitoring video stream …

In the first few days of life, neonatal jaundice is the situation that causes yellow discoloration
on the skin of the baby. The severity level of the disease is determined by using a bilirubin …