Scene recognition plays an important role in the task of visual information retrieval,
segmentation and image/video understanding. Traditional approaches for scene recognition …

Nails are one part of the fingers and toes, by observing the shape and the condition of the
nails, health expert can find out information about a person's health. However, this …

During the last few years, deep learning achieved remarkable results in the field of machine
learning when used for computer vision tasks. Among many of its architectures, deep neural …

In the modern era of motor vehicles where number of cars running on road are increasing
exponentially, the safety of the people driving or walking along the road is being …

Convolutiona neural network (CNN) is one of the best neural networks for classification,
segmentation, natural language processing (NLP), and video processing. The CNN consists …

Fusion of feature descriptors extracted from a signal through different methods is an
important issue for the exploitation of representational power of each descriptor. In this …

Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-
infrared (MIR) spectroscopy is routinely used to determine fat and protein concentrations in …

The principle restorative step in the treatment of ischemic stroke depends on how fast the
lesion is delineated from the Magnetic Resonance Imaging (MRI) images. This will serve as …

Building a traffic monitoring system for intelligent transportation systems (ITS) in the
developing smart cities has drawn in a mass of consideration in the latest past. Since the …

COVID-19 pandemic has led to serious economic and life losses. Face Masks serve as first
infection barrier when used in public spaces. In this paper, we propose a new near-realtime …