Application of a hybrid neural-fuzzy inference system for mapping crop suitability areas and predicting rice yields. - Kinh Bac Dang; Benjamin Burkhard; Wilhelm Windhorst; Felix Müller (Environ. Model. Softw., 2019)

A Convolutional Neural Network for Coastal Classification Based on ALOS and NOAA Satellite Data. - Kinh Bac Dang; Van Bao Dang; Quang-Thanh Bui; Van Vuong Nguyen; Thi Phuong Nga Pham; Van Liem Ngo (IEEE Access, 2020)

U-Net Convolutional Networks for Mining Land Cover Classification Based on High-Resolution UAV Imagery. - Tuan Linh Giang; Kinh Bac Dang; Quang Toan Le; Vu Giang Nguyen; Si Son Tong; Van-Manh Pham (IEEE Access, 2020)

Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam. - Kinh Bac Dang; Manh Ha Nguyen; Duc Anh Nguyen; Thi Thanh Hai Phan; Tuan Linh Giang; Hoang Hai Pham; Thu Nhung Nguyen; Thi Thuy Van Tran; Dieu Tien Bui (Remote. Sens., 2020)

Deep Learning Model Development for Detecting Coffee Tree Changes Based on Sentinel-2 Imagery in Vietnam. - Quang Toan Le; Kinh Bac Dang; Tuan Linh Giang; Thi Huyen Ai Tong; Nguyen Vu Giang; Thi Dieu Linh Nguyen; Muhammad Yasir (IEEE Access, 2022)

SwinYOLOv7: Robust ship detection in complex synthetic aperture radar images. - Muhammad Yasir; Shanwei Liu; Mingming Xu; Jianhua Wan; Shah Nazir; Qamar-ul Islam; Kinh Bac Dang (Appl. Soft Comput., 2024)

ShipGeoNet: SAR Image-Based Geometric Feature Extraction of Ships Using Convolutional Neural Networks. - Muhammad Yasir; Shanwei Liu; Mingming Xu; Jianhua Wan; Saied Pirasteh; Kinh Bac Dang (IEEE Trans. Geosci. Remote. Sens., 2024)