Feature extraction (FE) is an important step in image retrieval, image processing, data
mining and computer vision. FE is the process of extracting relevant information from raw …

Aiming at the problem that the traditional license plate recognition method lacking of
accuracy and speed, an end-to-end deep learning model for license plate location and …

As an image-segmentation method based on graph theory, GrabCut has attracted more and
more researchers to pay attention to this new method because of its advantages of simple …

Hamiltonian learning, as an important quantum machine learning technique, provides a
significant approach for determining an accurate quantum system. This paper establishes …

Abstract Number Plate recognition, also called License Plate realization or recognition using
image processing methods is a potential research area in smart cities and Internet of Things …

This article is about an architectural hardware-software model creation—home-based smart
health model—to boost healthcare to a higher position within society. As an emerging field …

Communication triggered for cell survival/apoptosis is achieved by three different input
proteins. In this paper, we have considered the heat map image that shows 11 different …

In the process of image shooting, due to the influence of angle, distance, complex scenes,
illumination intensity, and other factors, small targets and occluded targets will inevitably …

In the vehicle type classification area, the necessity to improve classification performance
across traffic surveillance cameras has garnered attention in research especially on high …

Notice of Violation of IEEE Publication Principles" Artificial Neural Networks: Its Techniques
and Applications to Forecasting," by A. Gupta, AO Salau, P. Chaturvedi, SA Akinola and N …