This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
People spend most of their time at a few key locations, such as home and work. Being able to identify how the movements of people cluster around these “important places” is cru...
In this paper, we experimentally evaluated the effect of outlier detection methods to improve the prediction performance of fault-proneness models. Detected outliers were removed ...
Most published research in information systems is underpinned by a positivist or empiricist philosophy. This generally involves the collection of quantitative data and its subsequ...
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...