Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
Sensor network is a novel technology about acquiring and processing information. This paper introduces the basic interaction patterns between requesters and providers of services ...
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
Today’s Internet users and applications are placing increased demands on Internet service providers (ISPs) to deliver fine-grained, flexible route control. To assist network o...
Patrick Verkaik, Dan Pei, Tom Scholl, Aman Shaikh,...
We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to be closed. Using ...