Pham Minh Tuan

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In this paper, we investigate the use of some welknown randomised low-discrepancy sequences (Halton, Sobol, and Faure sequences) for initialising particle swarms. We experimented with the standard global-best particle swarm algorithm for function optimization on some benchmark problems, using randomised low-discrepancy sequences for initialisation, and the(More)
In this paper, we present our solution and experimental results of the application of semi-supervised machine learning techniques and the improvement of SVM algorithm to build text classification applications. Firstly, we create a features model which is based on labeled data, and then we will be improved it by the unlabeled data. The technique that is to(More)
BACKGROUND The radial artery (RA) is a useful conduit for coronary artery bypass grafting (CABG) but is susceptible to vasospasm during harvesting. We evaluated the usefulness of fasudil, a Rho kinase inhibitor, in dilating the RA graft and increasing graft free flow (GFF) compared with the conventional graft-dilating agents papaverine and(More)
This article presents a solution along with experimental results for an application of semi-supervised machine learning techniques and improvement on the SVM (Support Vector Machine) based on geodesic model to build text classification applications for Vietnamese language. The objective here is to improve the semi-supervised machine learning by replacing(More)
OBJECTIVE Type I endoleaks are one of the most frequent and life-threatening complications of thoracic endovascular aortic repair. This study aimed to assess the use of suture-anchoring devices for repairing type I endoleaks. METHODS The descending aortic aneurysm model (saccular type) was made by side-to-end anastomosis to a Dacron graft. A(More)
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