Zobrazeno 1 - 10
of 7 485
pro vyhledávání: '"NGUYEN, QUOC"'
This paper investigates nonlinear Landau damping in the 3D Vlasov-Poisson (VP) system. We study the asymptotic stability of the Poisson equilibrium $\mu(v)=\frac{1}{\pi^2(1+|v|^2)^2}$ under small perturbations. Building on the foundational work of Io
Externí odkaz:
http://arxiv.org/abs/2411.18408
Among various spatio-temporal prediction tasks, epidemic forecasting plays a critical role in public health management. Recent studies have demonstrated the strong potential of spatio-temporal graph neural networks (STGNNs) in extracting heterogeneou
Externí odkaz:
http://arxiv.org/abs/2411.17372
In this paper, we aimed to develop a neural parser for Vietnamese based on simplified Head-Driven Phrase Structure Grammar (HPSG). The existing corpora, VietTreebank and VnDT, had around 15% of constituency and dependency tree pairs that did not adhe
Externí odkaz:
http://arxiv.org/abs/2411.17270
Time series forecasting plays a critical role in various real-world applications, including energy consumption prediction, disease transmission monitoring, and weather forecasting. Although substantial progress has been made in time series forecastin
Externí odkaz:
http://arxiv.org/abs/2411.15716
Autor:
Cao, Tri, Trinh, Minh-Huy, Deng, Ailin, Nguyen, Quoc-Nam, Duong, Khoa, Cheung, Ngai-Man, Hooi, Bryan
Anomaly detection (AD) is a machine learning task that identifies anomalies by learning patterns from normal training data. In many real-world scenarios, anomalies vary in severity, from minor anomalies with little risk to severe abnormalities requir
Externí odkaz:
http://arxiv.org/abs/2411.14515
Group Point-of-Interest (POI) recommendations aim to predict the next POI that satisfies the diverse preferences of a group of users. This task is more challenging than traditional individual POI recommendations due to complex group decision-making a
Externí odkaz:
http://arxiv.org/abs/2411.13415
Content-based Recommender Systems (CRSs) play a crucial role in shaping user experiences in e-commerce, online advertising, and personalized recommendations. However, due to the vast amount of categorical features, the embedding tables used in CRS mo
Externí odkaz:
http://arxiv.org/abs/2411.13052
Hyperedge prediction is crucial in hypergraph analysis for understanding complex multi-entity interactions in various web-based applications, including social networks and e-commerce systems. Traditional methods often face difficulties in generating
Externí odkaz:
http://arxiv.org/abs/2411.12354
Autor:
Nguyen, Thanh Tam, Ren, Zhao, Pham, Trinh, Huynh, Thanh Trung, Nguyen, Phi Le, Yin, Hongzhi, Nguyen, Quoc Viet Hung
The rapid advancement of large language models (LLMs) and multimodal learning has transformed digital content creation and manipulation. Traditional visual editing tools require significant expertise, limiting accessibility. Recent strides in instruc
Externí odkaz:
http://arxiv.org/abs/2411.09955
In this paper, we address the quantitative regularity and blow-up criteria for classical solutions to the three-dimensional incompressible Navier-Stokes equations in a critical Besov space setting. Specifically, we consider solutions $u\in L^\infty_T
Externí odkaz:
http://arxiv.org/abs/2411.06483