Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Emerging real-time streaming applications often rely on rate-based flow control. However, congestion control for rate-based applications is typically dismissed as being not viable...
: Network security situation awareness (NSSA) is a hotspot in the network security research field, and it’s the perception, comprehension, and forecast of network security situat...
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Significant efforts have focused in the past years on bringing large amounts of metadata online and the success of these efforts can be seen by the impressive number of web site...