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Adverse drug reactions (ADRs) represent one of the main health and economic problems in the world. With increasing data on ADRs, there is an increased need for software tools capable of organizing and storing the information on drug-ADR associations in a form that is easy to use and understand. Here we present a step by step computational procedure capable of extracting drug-ADR frequency data from...
Using speech or text to predict articulatory movements can have potential benefits for speech related applications. Many approaches have been proposed to solve the acoustic-to-articulatory inversion problem, which is much more than the exploration for predicting articulatory movements from text. In this paper, we investigate the feasibility of using deep neural network (DNN) for articulartory movement...
Face sketch-to-photo synthesis has attracted increasing attention in recent years for its useful applications on both digital entertainment and law enforcement. Although great progress has been made, previous methods only work on face sketches with rich textures which are not easily to obtain. In this paper, we propose a robust algorithm for synthesizing a face photo from a simple line drawing that...
RFID technology is increasingly being deployed in ubiquitous computing environments for object tracking and localization. Existing tracking architecture usually assumes the use of a trusted server which is invulnerable to compromise by internal and external adversaries. However, maintaining such a trusted server is unlikely in the real world. In this paper, we consider the problem of adding privacy...
The fundamental characteristics of SOA, loose coupling and on-demand integration, enable organizations to seek more flexibility and responsiveness from their business IT systems. However, this brings challenges to assure QoS, especially availability, which should be considered in an integrated way in an SOA environment. Traditionally, availability is measured for each IT resource, but within SOA environments,...
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