In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
Embedded memories are among the most widely used cores in current system-on-chip (SOC) implementations. Memory cores usually occupy a significant portion of the chip area, and do...
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
Technology scaling, characterized by decreasing feature size, thinning gate oxide, and non-ideal voltage scaling, will become a major hindrance to microprocessor reliability in fu...
Jason A. Blome, Shuguang Feng, Shantanu Gupta, Sco...
In this report, we propose an approach to integrate a hybrid garbage collection algorithm into the current response time analysis framework for real-time systems. In our approach,...