We studied a unified approach with the holographic, new agegraphic, and dark energy model to construct the form of which in general is responsible for the curvature driven explanation of the very early inflation along with ...

This paper presents work towards recognizing facial expressions that are used in sign language communication. Facial features are tracked to effectively capture temporal visual cues on the signers' face during signing. ...

We study the left-right symmetric extensions of the Standard Model (LRSM) and point out that the discovery of a right-handed charged gauge boson W±R with mass in the TeV range will have profound consequences for leptogenesis. ...

Divergence measures are widely used in various applications of pattern recognition, signal processing and statistical applications. In this paper, we introduce a new one parameter family of divergence measures, called ...

With the single-tube and double-tube fault of seven-level converter, this paper presents a new way to learn the faults feature based on the deep neural network of sparse autoencoder. Sparse autoencoder is an unsupervised ...