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Tổng cộng:
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Scientific research topics participated
Published scientific works
D.S Mai, L.T Ngo, L.H Trinh. Approach the interval type-2 fuzzy system and PSO technique in landcover classification. The 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Springer LNCS, Vol. 12034, pp. 402-414.
D.S Mai, L.T Ngo. General Semi-supervised Possibilistic Fuzzy c-Means Clustering for Land-cover Classification. The 11th IEEE International Conference on Knowledge and Systems Engineering (KSE), pp. 1-6.
L.H Trinh, D.S Mai. Classification of remote sensing imagery based on density and fuzzy c-means algorithm. International Journal of Fuzzy System Applications, Vol.8 (2), pp.1-15, (Scopus, Q2).
D.S Mai, L.T Ngo, L.H Trinh. Satellite Image Classification based Spatial-Spectral Fuzzy Clustering Algorithm. The 10th Asian Conference on Intelligent Information and Database Systems, Springer LNAI 10752, pp. 505–518.
D.S Mai, L.T Ngo, L.H Trinh. Advanced Semi-supervised Possibilistic Fuzzy C-means Clustering using Spatial-Spectral distance for Land-cover Classification. The IEEE International Conference on Systems, Man, and Cybernetics, Japan, pp.4375-4380.
D.S Mai, L.T Ngo. Semi-supervised method with spatial weights based Possibilistic fuzzy C-means clustering for Land-cover Classification. The 6th NAFOSTED Conference on Information and Computer Science (NICS), IEEE, pp.406-411.
D.S Mai, L.T Ngo, L.H Trinh. A hybrid approach of fuzzy clustering and Particle Swarm Optimization method for Landcover classification. Journal of Science and Technology, Section on Information and Communication Technology, Le Quy Don Technical University,No. 12, pp.48-63, 2018.
D.S Mai, L.T Ngo. Multiple Kernel Approach to Semi-Supervised Fuzzy Clustering Algorithm for Land-Cover Classification. Engineering Applications of Artificial Intelligence, Vol.68, pp.205–213, (SCIE, Q1, IF=3.5).
D.S Mai, L.T Ngo, L.H Trinh. Spatial-spectral fuzzy k-Means clustering for remote sensing image segmentation. Vietnam Journal of Science and Technology, VAST, 56(2), pp.257-272.
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