Streamflow Prediction in the Mekong River Basin Using Deep Neural Networks

Autor: Thi-Thu-Ha Nguyen, Duc-Quang Vu, Son T. Mai, Thanh Duc Dang

Publikováno v: IEEE Access, Vol 11, Pp 97930-97943 (2023)

In recent years, the Mekong River Basin (MRB), one of the largest river basins in Southeast Asia, has experienced severe impacts from extreme droughts and floods. Streamflow forecasting has become crucial for effective risk management strategies in t

Externí odkaz: https://doaj.org/article/986ad6ce544844b68db3345498c2c783

Advanced Machine Learning Techniques for Predicting Nha Trang Shorelines

Autor: Cheng Yin, Le Thanh Binh, Duong Tran Anh, Son T. Mai, Anh Le, Van-Hau Nguyen, Van-Chien Nguyen, Nguyen Xuan Tinh, Hitoshi Tanaka, Nguyen Trung Viet, Long D. Nguyen, Trung Q. Duong

Publikováno v: IEEE Access, Vol 9, Pp 98132-98149 (2021)

Nha Trang Coast is located in the South Central Vietnam and the coastal erosion has occurred rapidly in recent years. Hence it is crucial to accurately monitor the shoreline changes for better coastal management and reduction of risks for communities

Externí odkaz: https://doaj.org/article/627dd55b2e6846eab2f6c2316a2fefee

Effect of Gradient Descent Optimizers and Dropout Technique on Deep Learning LSTM Performance in Rainfall-runoff Modeling

Autor: Duong Tran Anh, Dat Vi Thanh, Hoang Minh Le, Bang Tran Sy, Ahad Hasan Tanim, Quoc Bao Pham, Thanh Duc Dang, Son T. Mai, Nguyen Mai Dang

Publikováno v: Water Resources Management. 37:639-657

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::085788980bee2626bd4cbfbbb94521e0
https://doi.org/10.1007/s11269-022-03393-w

Efficient and effective multi-modal queries through heterogeneous network embedding

Autor: Quoc Viet Hung Nguyen, Son T. Mai, Chi Thang Duong, Karl Aberer, Tam Thanh Nguyen, Matthias Weidlich, Hongzhi Yin

Publikováno v: Nguyen, T T, Duong, C T, Yin, H, Weidlich, M, Mai, T S, Aberer, K & Nguyen, Q V H 2023, ' Efficient and effective multi-modal queries through heterogeneous network embedding ', 39th International Conference on Data Engineering 2023, Anaheim, United States, 03/04/2023-07/04/2023 .
Duong, C T, Nguyen, T T, Yin, H, Weidlich, M, Mai, T S, Aberer, K & Nguyen, Q V H 2022, ' Efficient and effective multi-modal queries through heterogeneous network embedding ', IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 11, pp. 5307-5320 . https://doi.org/10.1109/TKDE.2021.3052871

The heterogeneity of today’s Web sources requires information retrieval (IR) systems to handle multi-modal queries. Such queries define a user’s information needs by different data modalities, such as keywords, hashtags, user profiles, and other

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ee4d3f89deeecb30b63a0b94f91bb0f
https://pure.qub.ac.uk/en/publications/1aad1828-43b8-4b3d-b1ed-fda33939a927

Spectrum-Sharing UAV-Assisted Mission-Critical Communication: Learning-Aided Real-Time Optimisation

Autor: Trung Q. Duong, Minh-Hien T. Nguyen, Tan Do-Duy, Emiliano Garcia-Palacios, Long D. Nguyen, Son T. Mai

Publikováno v: IEEE Access, Vol 9, Pp 11622-11632 (2021)
Nguyen, M-H T, Garcia-Palacios, E, Nguyen, L D, Do-Duy, T, Mai, S T & Duong, T Q 2021, ' Spectrum-Sharing UAV-assisted Mission-Critical Communication: Learning-aided Real-time Optimisation ', IEEE Access, vol. 9, pp. 11622-11632 .

We propose an unmanned aerial vehicle (UAV) communications scheme with spectrum-sharing mechanism to provide mission-critical services such as disaster recovery and public safety. Specifically, the UAVs can serve as flying base stations to provide ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed552faafd9418b3de50c3e76d1284a8
https://ieeexplore.ieee.org/document/9319135/