Face recognition is an important function of video surveillance systems, enabling verification
and identification of people who appear in a scene often captured by a distributed network of …

Although lots of clustering models have been proposed recently,-means and the family of
spectral clustering methods are both still drawing a lot of attention due to their simplicity and …

To safely select the proper therapy for ventricular fibrillation (VF), it is essential to distinguish
it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required …

Rapid scaling of using the Internet of Things (IoT) technology has been seen recently in
numerous applications in healthcare to deliver proper services. This was motivated by the …

Automatic disease detection systems based on Convolutional Neural Networks (CNNs) are
proposed in this paper for helping the medical professionals in the detection of diseases …

Face recognition and name and gender identification are challenging processes, especially
when identifying perpetrators and suspects or when used in authentication systems …

Face recognition is a very old and popular biometric problem. In the last two decades,
several challenges occur in face recognition such as expression, occlusion, illumination …

Many real-life machine and computer vision applications are focusing on object detection
and recognition. In recent years, deep learning-based approaches gained increasing …

Because of the current COVID-19 circumstances in the world and the tremendous
technological developments, it has become necessary to use this technology to combat the …

In this paper, a unique smart assistance aid, iSeePlus, for visually impaired people is
presented. iSeePlus, as a prototype product, is equipped with smart glasses (iSee Glasses) …