Continuous improvements in integration scale have made major microprocessor vendors to move to designs that integrate several processor cores on the same chip. Chip-multiprocessor...
Delivering sensed data to the sink reliably in sensor networks calls for a scalable, energy-efficient, and error-resilient routing solution. In this paper, a reliable energy-effic...
Min Chen, Taekyoung Kwon, Shiwen Mao, Yong Yuan, V...
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
Background: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces...
Aaron N. Chang, Jason McDermott, Zachary Frazier, ...
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...