Thi Lan Anh Nguyen

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Epitope identification is an essential step toward synthetic vaccine development since epitopes play an important role in activating immune response. Classical experimental approaches are laborious and time-consuming, and therefore computational methods for generating epitope candidates have been actively studied. Most of these methods, however, are based(More)
BACKGROUND Porcine respiratory and reproductive syndrome (PRRS) virus is one of the most economically significant pathogens in the Vietnamese swine industry. ORF5, which participates in many functional processes, including virion assembly, entry of the virus into the host cell, and viral adaptation to the host immune response, has been widely used in(More)
The complex scene conditions such as light change, high density of mobile objects or object occlusion can cause object mis-detections. When a tracker can not recover these mis-detections, the trajectory of an object is fragmented into some short trajectories called tracklets. As a result, tracking quality is reduced remarkably. In this paper, we propose a(More)
—Clustering is a discovery process that groups data objects into clusters such that the intracluster similarity is maximized and the intercluster similarity is minimized. This paper proposes a novel-clustering algorithm, IMPACT (Iteratively Moving Points based on Attraction to ClusTer data), that partitions data objects by moving them closer according to(More)
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