We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
In this paper, we present a complete analysis of redundant relationships in the entity-relationship model. Existing approaches use the concept of functional dependencies for ident...
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
—Time-dependent performance degradation due to transistor aging caused by mechanisms such as Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI) is one o...
Purpose – The purpose of this study is to conduct a scientometric analysis of the body of literature contained in 11 major knowledge management and intellectual capital (KM/IC) ...
Alexander Serenko, Nick Bontis, Lorne Booker, Khal...