- Establishing the process of the application of machine learning technology,  artificial intelligence models and  GIS in the assessment of coastal erosion.
- Clearify the hazard  of coastal erosion in Quang Nam and surrounding areas with machine learning technology, artificial intelligence. Proposal of preventive measures.

Theoretical results:
- Establishing the process of the application of machine learning technology, artificial intelligence models, and  GIS in the assessment of coastal erosion.
- Assessment of coastal erosion characteristics of Quang Nam and the neighboring area based on building a map of coastal erosion-sensitive zoning by integrating machine learning technology, artificial intelligence at scale 1: 50,000, and proposal of measures to prevent erosion.   
Applied results:
- Provide methods and technological process of assessment of coastal erosion based on the application of machine learning technology,  artificial intelligence models, and GIS integration.
- Provide scientific data for investigating, surveying, and assessment of coastal erosion in Quang Nam and neighboring areas.

The map of coastal erosion sensitive zoning by integrating machine learning technology, artificial intelligence scale 1:50,000 (Founder: Bui Nhi Thanh and the authors, 2020)

- Propose a application of research method and assessment of coastal erosion based on the application of machine learning technology, artificial intelligence models, and GIS. This method shows the predictive capacity of the models of artificial intelligence in assessing coastal erosion in the study area, in which the forecasting capacity of the CGLWL model is the best and can be used in the assessment and of coastal erosion for the reduction of Disaster and minimizes the damage caused by coastal erosion.
- Proposal of the results applied this research process to assess coastal erosion of Quang Nam and neighboring regions.

Published papers (listed):
- 02  articles published in international Journals (SCIE)
1. Huong Nguyen Van, Tran Van Phong, Phan Trong Trinh, Ngo Van Liem, Bui Nhi Thanh, Binh Thai Pham, Dieu Tien Bui, Nguyen Bieu, Hoang Quang Vinh, Nguyen Quang Xuyen, Nguyen Dang Tuc, Bui Van Thom, Nguyen Viet Thuan, Bui Thi Thao, Lai Hop Phong, Vu Duy Vinh, Mai Thanh Tan, Vy Quoc Hai, Nguyen Mai Lan, Tran Quoc Cuong, Pham Thi Thu Hang, Vu Van Ha, Cu Minh Hoang, Duong Van Hao, Tong Phuoc Hoang Son, 2020. Recent tectonics, geodynamics and seismotectonics in the Ninh Thuan Nuclear Power plants and surrounding regions, South Vietnam. Journal of Asian Earth Sciences 187 (2020) 104080.
2. Dong Van Dao, Abolfazl Jaafari, Mahmoud Bayat, Davood Mafi-Gholami, Chongchong Qi, Hossein Moayedie, Tran Van Phong, Hai Bang Ly, Tien Thinh Le, Phan Trong Trinh, Chinh Luu, Nguyen Kim Quoc, Bui Nhi Thanh, Binh Thai Pham, 2020. A spatially explicit deep learning neural network model for the prediction of landslide susceptibility. journal homepage: www.elsevier.com/locate/catena. 188. 104451.
- 01  article  published in Vietnam Journal of Marine Science and Technology:
Bui Nhi Thanh, Nguyen Van Luong, Duong Quoc Hung, Nguyen Van Diep, Mai Duc Dong, 2019. Recent geodynamic characteristics of the Southern Central coast and the relations with geological hazards. Vietnam Journal of Marine Science and Technology; Vol. 19, No. 3B; 2019: 125–136.
The project's products are stored at the Institute of Marine Geology and Geophysics, Vietnam Academy of Science and Technology.
Specific products:
- Report  "The process of applying machine learning technology, artificial intelligence in the assessment of coastal erosion"
- Report  "schema of sensitive zoning for coastal erosion by integrating machine learning technology, artificial intelligence, scale 1/50,000."
- Report  "Measures to prevent coastal erosion in Quang Nam and adjacent area."

The Department of Sciences and Technology, the Department of Natural Resource and Environment of  Quang Nam and Quang Ngai Provinces.