Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
This study addresses a long-standing and wellrecognized problem in KM research, namely the lack of conceptual integration and a cumulative tradition. Knowledge management needs an...
Intelligence analysts are flooded with massive amounts of data from a multitude of sources and in many formats. From this raw data they attempt to gain insight that will provide de...
This paper presents a generic approach to mesh global optimization via node movement, based on a discrete graph-theoretic model. Mesh is considered as an electric system with lump...
This paper investigates some modular powering functions suitable for cryptography. It is well known that the Rabin encryption function is a 4-to-1 mapping and breaking its one-wayn...