Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Duy, Khuong"'
Graph neural networks (GNNs) have been widely applied in multi-variate time-series forecasting (MTSF) tasks because of their capability in capturing the correlations among different time-series. These graph-based learning approaches improve the forec
Externí odkaz:
http://arxiv.org/abs/2306.17090
Autor:
Vo Minh Sang, Bui Duy Khuong, Ly Yen Nhi, Luong Gia Han, Thach Minh Giau, Nguyen Thi Tuyet Ngoan
Publikováno v:
Cogent Business & Management, Vol 11, Iss 1 (2024)
This study examines the influence of food reviewers on user engagement and purchase intention in the food and beverage (F&B) sector. Findings indicate that food reviewers positively impact both user interaction and purchase intention, with three key
Externí odkaz:
https://doaj.org/article/d34904f9730b45e6a9d2818fae788abc
Publikováno v:
Physical Review B 106, 134204 (2022)
We investigate numerically the time evolution of wave packets incident on one-dimensional semi-infinite lattices with mosaic modulated random on-site potentials, which are characterized by the integer-valued modulation period $\kappa$ and the disorde
Externí odkaz:
http://arxiv.org/abs/2207.13906
Autor:
Ly, Duy-Khuong, Tran, Bao-Anh Hoang, Dang, Trung-Hau, Thongchom, Chanachai, Nguyen-Thoi, Trung
Publikováno v:
In Thin-Walled Structures December 2024 205 Part B
Autor:
Van-Truong Hoang, Khanh-Tung Tran, Xuan-Son Vu, Duy-Khuong Nguyen, Monowar Bhuyan, Hoang D. Nguyen
Publikováno v:
AI Open, Vol 5, Iss , Pp 115-125 (2024)
This paper investigates a novel graph-based representation of sound waves inspired by the physical phenomenon of correlated vibrations. We propose a Wave2Graph framework for integrating multiple acoustic representations, including the spectrum of fre
Externí odkaz:
https://doaj.org/article/15a4cc67aad14b599b179b32d63cae02
Autor:
Nguyen, Tam, Nguyen, Tan M., Le, Dung D., Nguyen, Duy Khuong, Tran, Viet-Anh, Baraniuk, Richard G., Ho, Nhat, Osher, Stanley J.
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022
Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and computer vision tasks. It has been observed that for many applications, those
Externí odkaz:
http://arxiv.org/abs/2110.08678
Publikováno v:
In Structures September 2024 67
Optimizing load-displacement prediction for bored piles with the 3mSOS algorithm and neural networks
Publikováno v:
In Ocean Engineering 15 July 2024 304
Publikováno v:
In Construction and Building Materials 14 June 2024 431
Publikováno v:
In Advances in Engineering Software April 2024 190