Exploiting authors

Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling

This paper addresses the problem of discovering temporal authors interests. Traditionally some approaches used stylistic features or graph connectivity and ignored semantics-based intrinsic structure of words present between documents, while previous topic modeling approaches considered semantics without time factor, which is against the spirits of writing. We present Temporal-Author-Topic (TAT...

Authors Index

No abstract is available for this article.

Authors Index

Authors Index

No abstract is available for this article.

Exploring and Exploiting Quantum-Dot Cellular Automata

The Full Adders (FAs) constitute the essential elements of digital systems, in a sense that they affect the circuit parameters of such systems. With respect to the MOSFET restrictions, its replacement by new devices and technologies is inevitable. QCA is one of the accomplishments in nanotechnology nominated as the candidate for MOSFET replacement. In this article 4 new layouts are presente...