Conversational Recommender Systems assist online users in their information-seeking and decision making tasks by supporting an interactive process with the aim of finding the most appealing items according to the user preferences. Unfortunately, collecting dialogues data to train these systems can be labour-intensive, especially for data-hungry Deep Learning models. Therefore, we propose an aut...

Background While evidence-based practice is a familiar concept to allied health clinicians, knowledge translation (KT) is less well known and understood. The need for a framework that enables allied health clinicians to access and engage with KT was identified. The aim of this paper is to describe the development of the Translating Allied Health Knowledge (TAHK) Framework.   M...

investigating urban environmental conditions, informs us about the unsustainability and excessivedegradation of ecological context, which result in rising environmental concerns among the society. classifiedinformation about the status and trends of environmental components is needed as a rational tool to help urbansustainable planning and soer reports can help provide such information. prepari...

This paper first describes a technique to generate verbal descriptions of sequences of RDF triples. Then, it discusses how to apply the technique to create verbal descriptions of geographic maps which are useful to the visually impaired users or in situations where visual information cannot be displayed.

Problem statement: The Command, Control, Communications, Computers and Intelligence (C4I) Systems provided situational awareness about operational environment and supported in decision making and directed to operative environment. These systems had been used by various agencies like defense, police, investigation, road, rail, airports, oil and gas related department. However, the increase use o...

texture image analysis is one of the most important working realms of image processing in medical sciences and industry. up to present, different approaches have been proposed for segmentation of texture images. in this paper, we offered unsupervised texture image segmentation based on markov random field (mrf) model. first, we used gabor filter with different parameters’ (frequency, orientatio...