Zobrazeno 1 - 10
of 9 391
pro vyhledávání: '"Tuan, Anh"'
Recently, deep learning has experienced rapid expansion, contributing significantly to the progress of supervised learning methodologies. However, acquiring labeled data in real-world settings can be costly, labor-intensive, and sometimes scarce. Thi
Externí odkaz:
http://arxiv.org/abs/2411.19143
This paper proposes the possibility of integrating Dynamic Knowledge Graph (DKG) with Software-Defined Networking (SDN). This new approach aims to assist the management and control capabilities of the swarm network. The DKG works as a unified network
Externí odkaz:
http://arxiv.org/abs/2411.19068
Autor:
Shuai, Jiangtao, Baerveldt, Martin, Nguyen-Duc, Manh, Le-Tuan, Anh, Hauswirth, Manfred, Le-Phuoc, Danh
This paper presents a preliminary study of an efficient object tracking approach, comparing the performance of two different 3D point cloud sensory sources: LiDAR and stereo cameras, which have significant price differences. In this preliminary work,
Externí odkaz:
http://arxiv.org/abs/2411.18476
In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neighbor search applications, such as smart city infrastructure and autono
Externí odkaz:
http://arxiv.org/abs/2411.14006
Autor:
Berrens, Margaret L., Andrade, Marcos F. Calegari, Fourkas, John T., Pham, Tuan Anh, Donadio, Davide
Understanding the molecular-level structure and dynamics of ice surfaces is crucial for deciphering several chemical, physical, and atmospheric processes. Vibrational sum-frequency generation (SFG) spectroscopy is the most prominent tool for probing
Externí odkaz:
http://arxiv.org/abs/2410.19980
In future wireless systems of beyond 5G and 6G, addressing diverse applications with varying quality requirements is essential. Open Radio Access Network (O-RAN) architectures offer the potential for dynamic resource adaptation based on traffic deman
Externí odkaz:
http://arxiv.org/abs/2410.02954
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
The differences in H2O2 production between conventional (CONV) and ultra-high dose rate (UHDR) irradiations in water radiolysis are still not fully understood. The lower levels of this radiolytic species, as a critical end product of water radiolysis
Externí odkaz:
http://arxiv.org/abs/2409.11993
In developing medical interventions using untethered milli- and microrobots, ensuring safety and effectiveness relies on robust methods for detection, real-time tracking, and precise localization within the body. However, the inherent non-transparenc
Externí odkaz:
http://arxiv.org/abs/2409.08337