In this paper, we present the design and implementation of a sensor network system for monitoring the flow of traffic through temporary construction work zones. As opposed to long-...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Applying meta search systems is a suitable method to support the user if there are many different services. Due to information splitting strategies of literature services existing ...