Research to propose a Picture safe semi-supervised clustering algorithm. Evaluation the presented method for effectiveness and performance then apply it in weather nowcasting problem based on satellite image.

- Theoretical results: Proposed a Picture safe semi-supervised clustering algorithm to partition data more effectively, especically for noisy and outlier data.
- Applied results: Application in weather nowcasting problem base on satellite image.

- Scientific papers in referred journals (list):
+ 01 ISI paper: Pham Huy Thong, Florentin Smarandache, Phung The Huan, Tran Manh Tuan, Tran Thi Ngan, Vu Duc Thai, Nguyen Long Giang, Le Hoang Son (2023), “Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data”, Computer Systems Science and Engineering, in press(SCIE, 2021 IF = 4.397)
+ 01 National journal paper: Pham Huy Thong, Phung The Huan, Hoang Thi Canh, Tran Thi Ngan (2022). A new picture fuzzy clustering method to segment the surface water from satellite images. TNU Journal of Science and Technology, 227(16), pp 28-36.
+ 01 National proceding paper: Pham Huy Thong, Phung The Huan, Nguyen Hai Minh, Tran Thi Ngan, Nguyen Long Giang, Pham Quang Nam (2021), “Phát hiện tàu biển từ ảnh vệ tinh dựa trên phương pháp phân cụm bán giám sát mờ an toàn”, kỷ yếu hội thảo Quốc gia một số vấn đề chọn lọc của công nghệ thông tin và truyền thông 2021 (@-2021), 14/12/2021, Thai Nguyen, Vietnam, pp 413-419.