In this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and n...
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
—This paper describes a Java-based graphical user interface to a large number of data analysis programs the first author has written in C over the years. In addition, this toolb...
Evidence theory has been widely applied to uncertainty reasoning. In this paper a finite state machine with evidential reasoning is proposed to control autonomous robots. The Khep...
Qingxiang Wu, David A. Bell, Rashid Hafeez Khokhar...
In e-testing it is important to administer tests composed of good quality question items. By the term “quality” we intend the potential of an item in effectively discriminating...