Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
—This paper presents a novel ring-based approach to analyze the inter-flow capacity of a backhaul wireless mesh networks (WMNs) with centralized scheduling. Based on the property...
Tein-Yaw D. Chung, Kuan-Chun Lee, Hsiao-Chih Georg...
— Sharing of 3G network infrastructure among operators offers an alternative solution to reducing the investment in the coverage phase of WCDMA. For radio access network (RAN) sh...
Salman AlQahtani, Ashraf S. Mahmoud, Asrar U. Shei...
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Abstract— This paper investigates the reliability of applicationlevel multicast based on a distributed hash table (DHT) in a highly dynamic network. Using a node residual lifetim...