Wearable medical devices with sensor continuously generate enormous data which is often
called as big data mixed with structured and unstructured data. Due to the complexity of the …

The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

Abstract Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System (MKL with
ANFIS) based deep learning method is proposed in this paper for heart disease diagnosis …

The change in the DNA is a form of genetic variation in the human genome. In addition, the
DNA copy number change is also linked with the progression of many emerging diseases …

Electrocardiographic (ECG) signals often consist of unwanted noises and speckles. In order
to remove the noises, various image processing filters are used in various studies. In this …

Most of the advancements are now carried out by interconnecting physical devices with
computers; this is what known as Internet of Things (IoT). The major problems facing by blind …

Latent fingerprint identification is such a difficult task to law enforcement agencies and
border security in identifying suspects. It is a too complicate due to poor quality images with …

Remote sensing technologies have been widely used in the contexts of land cover and land
use. The image classification algorithms used in remote sensing are of paramount …

In this article, the authors propose an adaptive frequency median filter (AFMF) to remove the
salt and pepper noise. AFMF uses the same adaptive condition of adaptive median filter …

As health data are very sensitive, there is a need to prevent and control the health data with
end-to-end security solutions. In general, a number of authentication and authorization …