Zobrazeno 1 - 10
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pro vyhledávání: '"Nguyen Tuan-Anh"'
Autor:
Nguyen, Tuan Anh
We prove that multilevel Picard approximations are capable of approximating solutions of semilinear heat equations in $L^{p}$-sense, ${p}\in [2,\infty)$, in the case of gradient-dependent, Lipschitz-continuous nonlinearities, in the sense that the co
Externí odkaz:
http://arxiv.org/abs/2410.00203
Autor:
Neufeld, Ariel, Nguyen, Tuan Anh
We prove that multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation are capable of approximating solutions of semilinear Kolmogorov PDEs in $L^\mathfrak{p}$-sense, $\mathfrak{p}\in [2,\infty)$, in th
Externí odkaz:
http://arxiv.org/abs/2409.20431
This paper introduces SHANGUS, an advanced framework combining Deep Reinforcement Learning (DRL) with heuristic optimization to improve frontier-based exploration efficiency in unknown environments, particularly for intelligent vehicles in autonomous
Externí odkaz:
http://arxiv.org/abs/2407.18892
Publikováno v:
E3S Web of Conferences, Vol 405, p 01002 (2023)
Glyphosate (N-(phosphonomethyl) glycine) is one of the most widely used herbicides on agricultural land with an annual consumption is about 826 million kg in 2014, resulting in considerable amounts of water and soil pollution. Great attention has bee
Externí odkaz:
https://doaj.org/article/110344e46b054edcbb5d9a4c31ce4514
Federated Learning (FL) is a machine learning approach where nodes collaboratively train a global model. As more nodes participate in a round of FL, the effectiveness of individual model updates by nodes also diminishes. In this study, we increase th
Externí odkaz:
http://arxiv.org/abs/2405.15644
Autor:
Nguyen, Tuan Anh, Kwag, Taeho, Pham, Vinh, Nguyen, Viet Nghia, Hyun, Jeongseok, Jang, Minseok, Lee, Jae-Woo
This study advanced tele-operations in Advanced Air Mobility (AAM) through the creation of a Vehicle Digital Twin (VDT) system for eVTOL aircraft, tailored to enhance remote control safety and efficiency, especially for Beyond Visual Line of Sight (B
Externí odkaz:
http://arxiv.org/abs/2404.09621
Autor:
Yuan, Han, Hong, Chuan, Jiang, Pengtao, Zhao, Gangming, Tran, Nguyen Tuan Anh, Xu, Xinxing, Yan, Yet Yen, Liu, Nan
Background: Pneumothorax is an acute thoracic disease caused by abnormal air collection between the lungs and chest wall. To address the opaqueness often associated with deep learning (DL) models, explainable artificial intelligence (XAI) methods hav
Externí odkaz:
http://arxiv.org/abs/2403.18871
Autor:
Neufeld, Ariel, Nguyen, Tuan Anh
Numerical experiments indicate that deep learning algorithms overcome the curse of dimensionality when approximating solutions of semilinear PDEs. For certain linear PDEs and semilinear PDEs with gradient-independent nonlinearities this has also been
Externí odkaz:
http://arxiv.org/abs/2403.09200
Learning at the edges has become increasingly important as large quantities of data are continually generated locally. Among others, this paradigm requires algorithms that are simple (so that they can be executed by local devices), robust (again unce
Externí odkaz:
http://arxiv.org/abs/2402.02114
Autor:
Nguyen, Ngoc-Hieu, Nguyen, Tuan-Anh, Nguyen, Tuan, Hoang, Vu Tien, Le, Dung D., Wong, Kok-Seng
Federated Recommendation (FedRec) systems have emerged as a solution to safeguard users' data in response to growing regulatory concerns. However, one of the major challenges in these systems lies in the communication costs that arise from the need t
Externí odkaz:
http://arxiv.org/abs/2401.03748