Items where Author is "Ngô Thành Long"

Article

Pham Van, N. and Ngo Thanh, L. and Pham The, L. (2022) Multi-view Clustering and Multi-view Models. Studies in Big Data, 106. pp. 55-96. ISSN 21976503

Pham, N.V. and Pham, L.T. and Pedrycz, W. and Ngo, L.T. (2021) Feature-reduction fuzzy co-clustering approach for hyper-spectral image analysis. Knowledge-Based Systems, 216: 106549. ISSN 9507051

Mai, D.S. and Dang, T.H. and Ngo, L.T. (2021) Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems. Journal of Information and Telecommunication, 5 (2). pp. 197-213. ISSN 24751839

Mai, D.S. and Ngo, L.T. and Trinh, L.H. and Hagras, H. (2021) A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis. Information Sciences, 548. pp. 398-422. ISSN 200255

Truong, H.Q. and Ngo, L.T. and Pham, L.T. (2019) Interval type-2 fuzzy possibilistic c-means clustering based on granular gravitational forces and particle swarm optimization. Journal of Advanced Computational Intelligence and Intelligent Informatics, 23 (3). pp. 592-601. ISSN 13430130

Dang, T.H. and Mai, D.S. and Ngo, L.T. (2019) Multiple kernel collaborative fuzzy clustering algorithm with weighted super-pixels for satellite image land-cover classification. Engineering Applications of Artificial Intelligence, 85. pp. 85-98. ISSN 9521976

Mai, S.D. and Ngo, L.T. (2018) Multiple kernel approach to semi-supervised fuzzy clustering algorithm for land-cover classification. Engineering Applications of Artificial Intelligence, 68. pp. 205-213. ISSN 9521976

Ngo, L.T. and Dang, T.H. and Pedrycz, W. (2018) Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms. Pattern Recognition, 81. pp. 404-416. ISSN 313203

Pham, N.V. and Pham, L.T. and Nguyen, T.D. and Ngo, L.T. (2018) A new cluster tendency assessment method for fuzzy co-clustering in hyperspectral image analysis. Neurocomputing, 307. pp. 213-226. ISSN 9252312

Truong, H.Q. and Ngo, L.T. and Pedrycz, W. (2017) Granular Fuzzy Possibilistic C-Means Clustering approach to DNA microarray problem. Knowledge-Based Systems, 133. pp. 53-65. ISSN 9507051

Pham, V.N. and Ngo, L.T. and Pedrycz, W. (2016) Interval-valued fuzzy set approach to fuzzy co-clustering for data classification. Knowledge-Based Systems, 107. pp. 1-13. ISSN 9507051

Ngo, L.T. and Mai, D.S. and Pedrycz, W. (2015) Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. Computers and Geosciences, 83. pp. 1-16. ISSN 983004

Nguyen, D.D. and Ngo, L.T. and Pham, L.T. and Pedrycz, W. (2015) Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms. Fuzzy Sets and Systems, 279: 6740. pp. 17-39. ISSN 1650114

Nguyen, D.D. and Ngo, L.T. and Watada, J. (2014) A genetic type-2 fuzzy C-means clustering approach to M-FISH segmentation. Journal of Intelligent and Fuzzy Systems, 27 (6). pp. 3111-3122. ISSN 10641246

Ngo, L.T. (2013) General type-2 fuzzy logic systems based on refinement constraint triangulated irregular network. Journal of Intelligent and Fuzzy Systems, 25 (3). pp. 771-784. ISSN 10641246

Ngo, L.T. and Nguyen, D.D. and Pham, L.T. and Luong, C.M. (2012) Speedup of interval type 2 fuzzy logic systems based on GPU for robot navigation. Advances in Fuzzy Systems: 698062. ISSN 16877101

Conference or Workshop Item

Do, V.D. and Mai, D.S. and Ngo, L.T. (2022) Approaching semi-supervised collaborative learning model for remote sensing image analysis. In: Conference of 2022 RIVF International Conference on Computing and Communication Technologies, RIVF 2022, 20 December 2022 Through 22 December 2022, Ho Chi Minh City.

Vuong, Anh Tuan and Ha Tang, Van and Ngo, Long Thanh (2021) A Hyperspectral Image Denoising Approach via Low-Rank Matrix Recovery and Greedy Bilateral. In: 15th RIVF International Conference on Computing and Communication Technologies, RIVF 2021, 2 December 2021through 4 December 2021, Hanoi.

Mai, D.S. and Ngo, L.T. and Trinh, L.H. (2020) Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification. In: 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, 23 March 2020 through 26 March 2020.

Mai, D.-S. and Ngo, L.T. and Trinh, L.-H. (2019) Advanced Semi-Supervised Possibilistic Fuzzy C-means Clustering Using Spatial-Spectral Distance for Land-Cover Classification. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, 7 October 2018 through 10 October 2018.

Mai, D.S. and Thanh Ngo, L. (2019) General semi-supervised possibilistic fuzzy c-means clustering for land-cover classification. In: 11th International Conference on Knowledge and Systems Engineering, KSE 2019, 24 October 2019 through 26 October 2019.

Mai, D.-S. and Ngo, L.T. (2019) Semi-supervised Method with Spatial Weights based Possibilistic Fuzzy c-Means Clustering for Land-cover Classification. In: 5th NAFOSTED Conference on Information and Computer Science, NICS 2018, 23 November 2018 through 24 November 2018.

Binh, L.T.C. and Nha, P.V. and Long, N.T. and Long, P.T. (2019) A new ensemble approach for hyper-spectral image segmentation. In: 5th NAFOSTED Conference on Information and Computer Science, NICS 2018, 23 November 2018 through 24 November 2018.

Mai, S.D. and Ngo, L.T. and Le Trinh, H. (2018) Satellite Image Classification Based Spatial-Spectral Fuzzy Clustering Algorithm. In: 10th International scientific conferences on research and applications in the field of intelligent information and database systems, ACIIDS 2018, 19 March 2018 through 21 March 2018.

Van Nha, P. and Long, N.T. and Long, P.T. and Van Hai, P. (2018) A new assessment of cluster tendency ensemble approach for data clustering. In: 9th International Symposium on Information and Communication Technology, SoICT 2018, 6 December 2018 through 7 December 2018.

Truong, H.Q. and Ngo, L.T. and Pedrycz, W. (2017) Advanced Fuzzy Possibilistic C-means Clustering based on Granular Computing. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, 9 October 2016 through 12 October 2016.

Pham, V.N. and Ngo, L.T. and Nguyen, T.D. (2017) Feature-reduction fuzzy co-clustering algorithm for hyperspectral image segmentation. In: 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017, 9 July 2017 through 12 July 2017.

Dang, T.H. and Ngo, L.T. and Pedrycz, W. (2016) Multiple kernel based collaborative fuzzy clustering algorithm. In: 8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016, 14 March 2016 through 16 March 2016.

Vu, M.N. and Ngo, L.T. (2016) A multiple kernels interval type-2 possibilistic C-means. In: Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016, 14 March 2016 through 16 March 2016.

Dang, T.H. and Ngo, L.T. and Pedrycz, W. (2015) Interval Type-2 fuzzy C-Means approach to collaborative clustering. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, 2 August 2015 through 5 August 2015.

Mai, S.D. and Ngo, L.T. (2015) Interval Type-2 fuzzy C-means clustering with spatial information for land-cover classification. In: 7th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2015, 23 March 2015 through 25 March 2015.

Pham, V.N. and Ngo, L.T. (2015) Interval type-2 fuzzy co-clustering algorithm. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, 2 August 2015 through 5 August 2015.

Mai, D.S. and Ngo, L.T. (2015) Semi-supervised fuzzy C-means clustering for change detection from multispectral satellite image. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, 2 August 2015 through 5 August 2015.

Van, N.P. and Ngo, L.T. and Van, H.V. (2015) Speedup of fuzzy Co-clustering algorithm for image segmentation on graphic processing unit. In: 6th International Symposium on Information and Communication Technology, SoICT 2015, 3 December 2015 through 4 December 2015.

Nguyen, M.U. and Dao, T.T. and Ngo, L.T. (2015) A fuzzy-based approach for approximating depth information in RGB-D images. In: 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014, 14 December 2014 through 17 December 2014.

Nguyen, D.D. and Ngo, L.T. and Pham, L.T. (2014) Interval type-2 fuzzy c-means clustering using intuitionistic fuzzy sets. In: 2013 3rd World Congress on Information and Communication Technologies, WICT 2013, 15 December 2013 through 18 December 2013.

Nguyen, D.D. and Ngo, L.T. and Pham, L.T. (2013) GMKIT2-FCM: A Genetic-based improved multiple kernel interval type-2 fuzzy C-means clustering. In: 2013 IEEE International Conference on Cybernetics, CYBCONF 2013, 13 June 2013 through 15 June 2013, Lausanne.

Nguyen, D.D. and Ngo, L.T. and Pham, L.T. (2013) Genetic based interval type-2 fuzzy C-means clustering. In: 1st International Conference on Context-Aware Systems and Applications, ICCASA 2012, 26 November 2012 through 27 November 2012, Ho Chi Minh City.

Ngo, L.T. (2013) Grid-based general type-2 fuzzy logic systems based on GPU computing. In: 2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013, 7 July 2013 through 10 July 2013, Hyderabad.

Ngo, L.T. and Vu, M.N. and Hirota, K. (2013) Interpolative reasoning approach to sparse general type-2 fuzzy rules based on the reduced grid representation. In: 2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013, 15 December 2013 through 18 December 2013.

Van Nghiem, T. and Nguyen, D.D. and Ngo, L.T. (2013) Intuitionistic type-2 fuzzy set approach to image thresholding. In: 2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013, 15 December 2013 through 18 December 2013.

Nguyen, D.D. and Ngo, L.T. (2013) Multiple kernel interval type-2 fuzzy c-means clustering. In: 2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013, 7 July 2013 through 10 July 2013, Hyderabad.

Ngo, L.T. and Pham, B.H. (2012) Approach to image segmentation based on interval type-2 fuzzy subtractive clustering. In: 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012, 19 March 2012 through 21 March 2012, Kaohsiung.

Ngo, L.T. and Mai, D.S. and Nguyen, M.U. (2012) GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification. In: 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, 27 November 2012 through 29 November 2012, Kochi.

Nguyen, M.U. and Ngo, L.T. and Dao, T.T. (2012) Improved Interval Type-2 Fuzzy Subtractive Clustering for obstacle detection of robot vision from stream of Depth Camera. In: 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, 27 November 2012 through 29 November 2012, Kochi.

Ngo, L.T. and Nguyen, D.D. (2012) Land cover classification using interval type-2 fuzzy clustering for multi-spectral satellite imagery. In: 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, 14 October 2012 through 17 October 2012, Seoul.

Pham, B.H. and Ha, H.T. and Ngo, L.T. (2012) Learning rule for TSK fuzzy logic systems using interval type-2 fuzzy subtractive clustering. In: 9th International Conference on Simulated Evolution and Learning, SEAL 2012, 16 December 2012 through 19 December 2012, Hanoi.

Ngo, L.T. (2012) Operations of grid general type-2 fuzzy sets based on GPU computing platform. In: 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, 14 October 2012 through 17 October 2012, Seoul.

Ngo, L.T. and Pham, B.H. (2012) A type-2 fuzzy subtractive clustering algorithm. In: 2011 International Conference on Mechanical Engineering and Technology, ICMET 2011, 24 November 2011 through 25 November 2011, London.

Duong, H.D. and Nguyen, D.D. and Ngo, L.T. and Tinh, D.T. (2011) On approach to vision based fire detection based on type-2 fuzzy clustering. In: 2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011, 14 October 2011 through 16 October 2011, Dalian.

Ngo, L.T. (2011) Refinement CTIN for general type-2 fuzzy logic systems. In: 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011, 27 June 2011 through 30 June 2011, Taipei.

Ngo, L.T. and Pham, L.T. and Nguyen, P.H. and Hirota, K. (2009) Refinement geometric algorithms for type-2 fuzzy set operations. In: 2009 IEEE International Conference on Fuzzy Systems, 20 August 2009 through 24 August 2009, Jeju Island.

Ngo, L.T. and The, L.P. and Nguyen, P.H. and Hirota, K. (2007) On approximate representation of type-2 fuzzy sets using triangulated irregular network. In: 12th International Fuzzy Systems Association World Congress, IFSA 2007, 18 June 2007 through 21 June 2007, Cancun.