Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Bui Anh Tuan"'
Autor:
Doan, Khanh, Vuong, Long Tung, Nguyen, Tuan, Bui, Anh Tuan, Tran, Quyen, Do, Thanh-Toan, Phung, Dinh, Le, Trung
Diffusion models (DM) have become fundamental components of generative models, excelling across various domains such as image creation, audio generation, and complex data interpolation. Signal-to-Noise diffusion models constitute a diverse family cov
Externí odkaz:
http://arxiv.org/abs/2408.04221
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 4, Pp 2339-2346 (2020)
This paper is devoted to establish a computational approach to investigate that a discrete-time almost cyclostationary model is a suitable choice to fit on an observed dataset. The main idea is estimating the support of spectra and applying multiple
Externí odkaz:
https://doaj.org/article/715f29a8dcbb4f709de62b6526297eac
Publikováno v:
Complexity, Vol 2020 (2020)
Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. Thus, inspired by nature, metaheuristic algorithms can be utilized as a new kind of problem solvers in solution to these type
Externí odkaz:
https://doaj.org/article/42e1204ea81d4991b980334c6eec8e99
Autor:
Pham Thu Huong, Jacob Cherian, Nguyen Thi Hien, Muhammad Safdar Sial, Sarminah Samad, Bui Anh Tuan
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 7, Iss 89, p 89 (2021)
The present study aims to determine the impact of green innovation (GI) on the overall performance of an organization while keeping the variable of environmental management (EM) as a moderator. We used a dataset consisting of four data years, from 20
Externí odkaz:
https://doaj.org/article/d8ae22af7cfd4cc1a20a1996521bc2c3
Publikováno v:
Advances in Neural Information Processing Systems, 2023
Distributional robustness is a promising framework for training deep learning models that are less vulnerable to adversarial examples and data distribution shifts. Previous works have mainly focused on exploiting distributional robustness in the data
Externí odkaz:
http://arxiv.org/abs/2306.04178
Adversarial machine learning has been both a major concern and a hot topic recently, especially with the ubiquitous use of deep neural networks in the current landscape. Adversarial attacks and defenses are usually likened to a cat-and-mouse game in
Externí odkaz:
http://arxiv.org/abs/2212.03069
Autor:
Bui, Anh Tuan1 (AUTHOR) buiat2@vcu.edu
Publikováno v:
Annals of Operations Research. Aug2024, Vol. 339 Issue 1/2, p111-130. 20p.
Autor:
Bui, Anh Tuan
This paper addresses the problem of mapping high-dimensional data to a low-dimensional space, in the presence of other known features. This problem is ubiquitous in science and engineering as there are often controllable/measurable features in most a
Externí odkaz:
http://arxiv.org/abs/2111.13646
Autor:
Bui, Anh Tuan1,2 (AUTHOR), Le, Hieu3 (AUTHOR) hle@cs.stonybrook.edu, Hoang, Tung Thanh2 (AUTHOR), Trinh, Giam Minh4,5 (AUTHOR) giamtm@pnt.edu.vn, Shao, Hao-Chiang6 (AUTHOR), Tsai, Pei-I7 (AUTHOR), Chen, Kuan-Jen7 (AUTHOR), Hsieh, Kevin Li-Chun8,9,10 (AUTHOR), Huang, E-Wen11 (AUTHOR), Hsu, Ching-Chi12 (AUTHOR), Mathew, Mathew13 (AUTHOR), Lee, Ching-Yu14,15 (AUTHOR) 221002@h.tmu.edu.tw, Wang, Po-Yao14,15 (AUTHOR), Huang, Tsung-Jen14,15 (AUTHOR), Wu, Meng-Huang14,15,16 (AUTHOR) maxwutmu@tmu.edu.tw
Publikováno v:
Bioengineering (Basel). Feb2024, Vol. 11 Issue 2, p164. 15p.
Autor:
Bui, Anh Tuan1 (AUTHOR), Apley, Daniel W.2 (AUTHOR) apley@northwestern.edu
Publikováno v:
International Journal of Production Research. Aug2022, Vol. 60 Issue 16, p5071-5086. 16p.