In the present research era, machine learning is an important and unavoidable zone where
it provides better solutions to various domains. In particular deep learning is one of the cost …

In this study, Gabor wavelet transform on the strength of deep learning which is a new
approach for the symmetry face database is presented. A proposed face recognition system …

The performance of many state-of-the-art deep face recognition models deteriorates
significantly for images captured under low illumination, mainly because the features of dim …

Unmanned aerial vehicles as known as drones, are aircraft that can comfortably search
locations which are excessively dangerous or difficult for humans and take data from bird's …

WiFi has achieved great success in data communication in the past two decades and WiFi
signals are recently further exploited for sensing purposes. Promising progress has been …

Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for
detecting objects in images and videos. Unlike Deep Learning algorithms, which typically …

In order to improve face recognition accuracy, an IFC face recognition algorithm based on
image feature compensation strategy for face recognition is proposed in this paper. The …

Abstract The Convolutional Neural Network (CNN) based on deep learning is introduced to
propose two deep face detection algorithms and design an embedded face recognition …

Abstract Visual Feature Learning (VFL) is a critical area of research in computer vision that
involves the automatic extraction of features and patterns from images and videos. The …

Deep convolutional neural networks have shown great potential in medical image
segmentation. However, automatic cardiac segmentation is still challenging due to the …