Zobrazeno 1 - 10
of 11 992
pro vyhledávání: '"Nguyen The HUNG"'
Autor:
Le, Duc-Truyen, Nguyen, Vu-Linh, Ha, Triet Minh, Nguyen, Cong-Ha, Nguyen, Quoc-Hung, Nguyen, Van-Duy
In this study, we delved into several optimization methods, both classical and quantum, and analyzed the quantum advantage that each of these methods offered, and then we proposed a new combinatorial optimization scheme, deemed as QN-SPSA+PSR which c
Externí odkaz:
http://arxiv.org/abs/2412.19176
Autor:
Luu, Quang-Trung, Nguyen, Minh-Thanh, Do, Tuan-Anh, Kieffer, Michel, Nguyen, Van-Dinh, Nguyen, Tai-Hung, Nguyen, Huu-Thanh
Network slicing is a critical feature in 5G and beyond communication systems, enabling the creation of multiple virtual networks (i.e., slices) on a shared physical network infrastructure. This involves efficiently mapping each slice component, inclu
Externí odkaz:
http://arxiv.org/abs/2412.05993
Autor:
Aguilar, Bruno, Barik, Daibik, Bhambhu, Jetharam, Frankel, Evan, Nguyen, Nam Hung Tran, Mandava, Revathi, Marco, Aiden, Pon, Kyle, Shende, Tejas, Wang, Yi
The asymmetric coloring number of a graph is the minimum number of colors needed to color its vertices, so that no non-trivial automorphism preserves the color classes. We investigate the asymmetric coloring number of graphs that are disjoint unions
Externí odkaz:
http://arxiv.org/abs/2412.00574
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
Autor:
Li, Yikun, Zhang, Ting, Widyasari, Ratnadira, Tun, Yan Naing, Nguyen, Huu Hung, Bui, Tan, Irsan, Ivana Clairine, Cheng, Yiran, Lan, Xiang, Ang, Han Wei, Liauw, Frank, Weyssow, Martin, Kang, Hong Jin, Ouh, Eng Lieh, Shar, Lwin Khin, Lo, David
Accurate identification of software vulnerabilities is crucial for system integrity. Vulnerability datasets, often derived from the National Vulnerability Database (NVD) or directly from GitHub, are essential for training machine learning models to d
Externí odkaz:
http://arxiv.org/abs/2411.17274
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
In this paper, we establish local well-posedness results for the Muskat equation in any dimension using modulus of continuity techniques. By introducing a novel quantity \(\beta_\sigma(f_0')\) which encapsulates local monotonicity and slope, we ident
Externí odkaz:
http://arxiv.org/abs/2411.01501
Autor:
Nguyen, Dac Thai, Nguyen, Trung Thanh, Nguyen, Huu Tien, Nguyen, Thanh Trung, Pham, Huy Hieu, Nguyen, Thanh Hung, Truong, Thao Nguyen, Nguyen, Phi Le
Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing, staging, and monitoring various diseases, particularly cancer. Despite their importance, the use of PET/CT systems is limited by the necessity for radioacti
Externí odkaz:
http://arxiv.org/abs/2410.21932
This paper investigates the application of game-theoretic principles combined with advanced Kalman filtering techniques to enhance maritime target tracking systems. Specifically, the paper presents a two-player, imperfect information, non-cooperative
Externí odkaz:
http://arxiv.org/abs/2410.13587
Publikováno v:
Pattern Recognition Letters, 2024, 185, pp.225-231
Training a large set of machine learning algorithms to convergence in order to select the best-performing algorithm for a dataset is computationally wasteful. Moreover, in a budget-limited scenario, it is crucial to carefully select an algorithm cand
Externí odkaz:
http://arxiv.org/abs/2410.07696