There is growing interest in scaling up the widely-used decision-tree learning algorithms to very large data sets. Although numerous diverse techniques have been proposed, a fast ...
With the scaling down of the CMOS technologies, Negative Bias Temperature Instability (NBTI) has become a major concern due to its impact on PMOS transistor aging process and the ...
Hamed Abrishami, Safar Hatami, Behnam Amelifard, M...
We examine correlations in a time series of electric power system blackout sizes using scaled window variance analysis and R/S statistics. The data shows some evidence of long tim...
Benjamin A. Carreras, David E. Newman, Ian Dobson,...
Model checking techniques are promising for automated generation of directed tests. However, due to the prohibitively large time and resource requirements, conventional model chec...
Energy-saving is extremely important in real-time embedded systems. Dynamic Voltage Scaling (DVS) is one of the prime techniques used to achieve energy-saving. Due to the uncertai...
Meikang Qiu, Chun Xue, Zili Shao, Edwin Hsing-Mean...