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Vehicle localization is a key issue that has recently attracted attention in a wide range of applications. Navigation, vehicle tracking, emergency calling, and location-based services are examples of emerging applications with a great demand for location information. The Global Positioning System (GPS) has been the de facto standard solution for the(More)
The use of two powerful classification techniques (boosting and SVM) is explored for the segmentation of white-matter lesions in the MRI scans of human brain. Simple features are generated from Proton Density (PD) scans. Radial Basis Function (RBF) based Adaboost technique and Support Vector Machines (SVM) are employed for this task. The classifiers are(More)
In this paper we apply the concept of parallel processing to enhance the performance of the Ant Colony System algorithm. New exchange strategies based on a weighting scheme are introduced under three different types of interactions. A search assessment technique based on a team consensus methodology is developed to study the influence of these strategies on(More)
—The efficiency by which a node of a vehicular ad hoc network (VANET) can route messages to destinations heavily depends on the VANET's ability to keep track of the locations of its nodes (vehicles). Current location-management schemes lack scalability and, hence, are proven unable to work in large-scale networks. Therefore, location management in VANETs(More)
Dempster-Shafer evidence theory (DSET) is a popular paradigm for dealing with uncertainty and imprecision. Its corresponding evidential reasoning framework is theoretically attractive. However, there are outstanding issues that hinder its use in real-life applications. Two prominent issues in this regard are 1) the issue of basic probability assignments(More)