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Dinh Sinh Mai
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2020 – today
- 2023
- [j10]Dinh Sinh Mai, Kien-Trinh Thi Bui, Chinh Van Doan:
Application of Interval Type-2 Fuzzy Logic System and Ant Colony Optimization for Hydropower Dams Displacement Forecasting. Int. J. Fuzzy Syst. 25(5): 2052-2066 (2023) - [j9]Trong Hop Dang, Viet Duc Do, Dinh Sinh Mai
, Long Thanh Ngo, Hung Le Trinh:
Features reduction collaborative fuzzy clustering for hyperspectral remote sensing images analysis. J. Intell. Fuzzy Syst. 45(5): 7739-7752 (2023) - [j8]Le Truong Giang, Le Hoang Son, Long Giang Nguyen, Tran Manh Tuan, Nguyen Van Luong, Dinh Sinh Mai
A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images. Neural Comput. Appl. 35(6): 4519-4548 (2023) - [c13]Dinh Sinh Mai
An Improvement of Fuzzy C-Means Clustering Using the Multiple Kernels Technique with Gravitational Force Information for Data Classification. KSE 2023: 1-4 - 2022
- [j7]Tran Manh Tuan
A New Approach for Semi-supervised Fuzzy Clustering with Multiple Fuzzifiers. Int. J. Fuzzy Syst. 24(8): 3688-3701 (2022) - [c12]Dinh Sinh Mai
An improvement of collaborative fuzzy clustering based on active semi-supervised learning. FUZZ-IEEE 2022: 1-6 - [c11]Viet Duc Do, Dinh Sinh Mai
Approaching semi-supervised collaborative learning model for remote sensing image analysis. RIVF 2022: 548-553 - 2021
- [j6]Dinh Sinh Mai
A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis. Inf. Sci. 548: 398-422 (2021) - [j5]Dinh Sinh Mai
Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems. J. Inf. Telecommun. 5(2): 197-213 (2021) - [c10]Dinh Sinh Mai
Interval type-2 fuzzy logic systems optimization with swarm algorithms for data classification. KSE 2021: 1-5 - [c9]Nguyen Anh Cuong, Dinh Sinh Mai, Do Viet Duc, Trong Hop Dang, Long Thanh Ngo, Long The Pham:
Fuzzy C-Medoids Clustering Based on Interval Type-2 Inituitionistic Fuzzy Sets. RIVF 2021: 1-5 - [c8]Viet Duc Do, Long Thanh Ngo, Dinh Sinh Mai:
A hybrid kernel-based possibilistic fuzzy c-means clustering and cuckoo search algorithm. RIVF 2021: 1-6 - 2020
- [c7]Dinh Sinh Mai
Approach the Interval Type-2 Fuzzy System and PSO Technique in Landcover Classification. ACIIDS (2) 2020: 402-414
2010 – 2019
- 2019
- [j4]Trong Hop Dang, Dinh Sinh Mai
Multiple kernel collaborative fuzzy clustering algorithm with weighted super-pixels for satellite image land-cover classification. Eng. Appl. Artif. Intell. 85: 85-98 (2019) - [j3]Hung Le Trinh
Classification of Remote Sensing Imagery Based on Density and Fuzzy c-Means Algorithm. Int. J. Fuzzy Syst. Appl. 8(2): 1-15 (2019) - [c6]Dinh Sinh Mai
General Semi-supervised Possibilistic Fuzzy c-Means clustering for Land-cover Classification. KSE 2019: 1-6 - 2018
- [j2]Dinh Sinh Mai
Multiple kernel approach to semi-supervised fuzzy clustering algorithm for land-cover classification. Eng. Appl. Artif. Intell. 68: 205-213 (2018) - [c5]Dinh Sinh Mai
Satellite Image Classification Based Spatial-Spectral Fuzzy Clustering Algorithm. ACIIDS (2) 2018: 505-518 - [c4]Dinh Sinh Mai
Advanced Semi-Supervised Possibilistic Fuzzy C-means Clustering Using Spatial-Spectral Distance for Land-Cover Classification. SMC 2018: 4375-4380 - 2015
- [j1]Long Thanh Ngo, Dinh Sinh Mai
Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. Comput. Geosci. 83: 1-16 (2015) - [c3]Dinh Sinh Mai
Interval Type-2 Fuzzy C-Means Clustering with Spatial Information for Land-Cover Classification. ACIIDS (1) 2015: 387-397 - [c2]Dinh Sinh Mai
Semi-supervised fuzzy C-means clustering for change detection from multispectral satellite image. FUZZ-IEEE 2015: 1-8 - 2012
- [c1]Long Thanh Ngo, Dinh Sinh Mai
GPU-based acceleration of interval type-2 fuzzy c-means clustering for satellite imagery land-cover classification. ISDA 2012: 992-997
Coauthor Index
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