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Wireless sensor networks (WSN) have been attracting growing interests for developing a new generation of large-scale embedded computing systems, with a great potential for a wide range of applications such as surveillance, environmental monitoring, emergency medical response or building automation. However, the communication paradigms in wireless sensor(More)
There is a growing interest in integrating public transportation with the smartphone and mobile ticketing provides just that. To do so, different technologies can be used, such as Near Field Communication, Quick Response Codes and Bluetooth Low Energy. This paper explores the possibility of implementing a mobile ticketing solution, with focus on the ticket(More)
INTRODUCTION The conventional aortic valve replacement is the treatment of choice for symptomatic severe aortic stenosis. Transcatheter technique is a viable alternative with promising results for inoperable patients. Sutureless bioprostheses have shown benefits in high-risk patients, such as reduction of aortic clamping and cardiopulmonary bypass,(More)
This paper presents the approach of the CISUC-KIS team to the SemEval 2014 task on Sentiment Analysis in Twitter, more precisely subtask B-Message Polarity Classification. We followed a machine learning approach where a SVM classifier was trained from a large and diverse set of features that included lexical, syntactic , sentiment and semantic-based(More)
INTRODUCTION The transcatheter aortic valve implantation in the treatment of high-risk symptomatic aortic stenosis has increased the number of implants every year. The learning curve for transcatheter aortic valve implantation has improved since the last 12 years, allowing access alternatives. OBJECTIVE The aim of this study is to approach the(More)
A method to compute the atherosclerotic plaque activity index (AI) was recently proposed in the literature to support the decision of endarterec-tomy. The dependency of this index on objective measures, extracted from Ultrasound and Clinical Data, aims at the increasing of the diagnosis accuracy by removing part of the subjective component associated with(More)
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