… based services, the investigation of mobile positioning using radiolocalization techniques is
… support vector regression to estimate the position of a mobile terminal in cellular networks. …

… Using support vector regression, we investigate the missing value location estimation problem
by … The proposed support vector regression approach shows promising performances, …

… The proposed SVR localization model was trained with a set of 120 input vectors and the
120 corresponding 2-D locations of mobile targets for the considered WSN area in this work. …

… throughput prediction mechanism with support vector regression by combining communication
quality information for video streaming transmission in mobile network. We evaluate and …

… positioning method using support vector regression (SVR), … strength (RSS) of the mobile
device is established at the … the position accuracy of mobile devices. Performance evaluation …

… mobile handsets is the most likely way of achieving digital inclusion [1]. In this context, the
importance of wireless and mobile networks … in a wireless data network, network designers rely …

… the support vector regression method proposed in this paper based on the wireless network
… , compared with the traditional support vector regression method, has better statistical effects…

… in the cellular network then service-related problems can be resolved. Super Vector
Regression (SVR) method is one of the methods using which mobility prediction of mobile users is …

… network planning of complex mobile networks. We compare results from different regression
… of each regression analysis in a reduced space. We showed that: 1) data analysis through …

… algorithm for mobile sensor networks to monitor the environment. With this algorithm, multiple
mobile sensor … The mobile sensor nodes are able to self-organise so that the distribution of …