GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification. - Long Thanh Ngo; Dinh Sinh Mai; Mau Uyen Nguyen (ISDA, 2012)

Interval Type-2 Fuzzy C-Means Clustering with Spatial Information for Land-Cover Classification. - Dinh Sinh Mai; Long Thanh Ngo (ACIIDS (1), 2015)

Semi-supervised fuzzy C-means clustering for change detection from multispectral satellite image. - Dinh Sinh Mai; Long Thanh Ngo (FUZZ-IEEE, 2015)

Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. - Long Thanh Ngo; Dinh Sinh Mai; Witold Pedrycz (Comput. Geosci., 2015)

Satellite Image Classification Based Spatial-Spectral Fuzzy Clustering Algorithm. - Dinh Sinh Mai; Long Thanh Ngo; Hung Le Trinh (ACIIDS (2), 2018)

Advanced Semi-Supervised Possibilistic Fuzzy C-means Clustering Using Spatial-Spectral Distance for Land-Cover Classification. - Dinh Sinh Mai; Long Thanh Ngo; Hung Le Trinh (SMC, 2018)

Multiple kernel approach to semi-supervised fuzzy clustering algorithm for land-cover classification. - Dinh Sinh Mai; Long Thanh Ngo (Eng. Appl. Artif. Intell., 2018)

General Semi-supervised Possibilistic Fuzzy c-Means clustering for Land-cover Classification. - Dinh Sinh Mai; Long Thanh Ngo (KSE, 2019)

Multiple kernel collaborative fuzzy clustering algorithm with weighted super-pixels for satellite image land-cover classification. - Trong Hop Dang; Dinh Sinh Mai; Long Thanh Ngo (Eng. Appl. Artif. Intell., 2019)

Classification of Remote Sensing Imagery Based on Density and Fuzzy c-Means Algorithm. - Hung Le Trinh; Dinh Sinh Mai (Int. J. Fuzzy Syst. Appl., 2019)

Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification. - Dinh Sinh Mai; Long Thanh Ngo; Hung Le Trinh (ACIIDS (2), 2020)

Interval type-2 fuzzy logic systems optimization with swarm algorithms for data classification. - Dinh Sinh Mai (KSE, 2021)

Fuzzy C-Medoids Clustering Based on Interval Type-2 Inituitionistic Fuzzy Sets. - Nguyen Anh Cuong; Dinh Sinh Mai; Do Viet Duc; Trong Hop Dang; Long Thanh Ngo; Long The Pham (RIVF, 2021)

A hybrid kernel-based possibilistic fuzzy c-means clustering and cuckoo search algorithm. - Viet Duc Do; Long Thanh Ngo; Dinh Sinh Mai (RIVF, 2021)

A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis. - Dinh Sinh Mai; Long Thanh Ngo; Hung Le Trinh; Hani Hagras (Inf. Sci., 2021)

Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems. - Dinh Sinh Mai; Trong Hop Dang; Long Thanh Ngo (J. Inf. Telecommun., 2021)

An improvement of collaborative fuzzy clustering based on active semi-supervised learning. - Dinh Sinh Mai; Trong Hop Dang (FUZZ-IEEE, 2022)

Approaching semi-supervised collaborative learning model for remote sensing image analysis. - Viet Duc Do; Dinh Sinh Mai; Long Thanh Ngo (RIVF, 2022)

A New Approach for Semi-supervised Fuzzy Clustering with Multiple Fuzzifiers. - Tran Manh Tuan; Dinh Sinh Mai; Tran Dinh Khang; Phung The Huan; Tran Thi Ngan; Long Giang Nguyen; Vu Duc Thai (Int. J. Fuzzy Syst., 2022)

An Improvement of Fuzzy C-Means Clustering Using the Multiple Kernels Technique with Gravitational Force Information for Data Classification. - Dinh Sinh Mai; Viet Ha Tran; Trong Hop Dang (KSE, 2023)

Application of Interval Type-2 Fuzzy Logic System and Ant Colony Optimization for Hydropower Dams Displacement Forecasting. - Dinh Sinh Mai; Kien-Trinh Thi Bui; Chinh Van Doan (Int. J. Fuzzy Syst., 2023)

A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images. - Le Truong Giang; Le Hoang Son; Long Giang Nguyen; Tran Manh Tuan; Nguyen Van Luong; Dinh Sinh Mai; Ganeshsree Selvachandran; Vassilis C. Gerogiannis (Neural Comput. Appl., 2023)

Features reduction collaborative fuzzy clustering for hyperspectral remote sensing images analysis. - Trong Hop Dang; Viet Duc Do; Dinh Sinh Mai; Long Thanh Ngo; Hung Le Trinh (J. Intell. Fuzzy Syst., 2023)