Binary Decision Diagram (BDD) is a data structure proved to be compact in representation and efficient in manipulation of Boolean…
In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information…
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it…
The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great…
The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to…
The main challenge of a search engine is ranking web documents to provide the best response to a user`s query.…
Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area,…
Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a…
Recently, data collection from seabed by means of underwater wireless sensor networks (UWSN) has attracted considerable attention. Autonomous underwater vehicles…
This paper compares clusters of aligned Persian and English texts obtained from k-means method. Text clustering has many applications in…
