Zobrazeno 1 - 10
of 22 694
pro vyhledávání: '"An, Nguyen Thanh"'
This paper studies the statistical characterization of ground-to-air (G2A) and reconfigurable intelligent surface (RIS)-assisted air-to-ground (A2G) communications in RIS-assisted UAV networks under the impact of channel aging. A comprehensive channe
Externí odkaz:
http://arxiv.org/abs/2408.00600
Autor:
Nguyen, Thanh Luan, Kaddoum, Georges
We introduce the fluctuating Line-of-Sight (fLoS) fading model, characterized by parameters $K$, $k$, $\lambda$, and $\Omega$. The fLoS fading distribution is expressed in terms of the multivariate confluent hypergeometric functions $\Psi_2$, $\Phi_3
Externí odkaz:
http://arxiv.org/abs/2408.00575
Reinforcement Learning (RL) agents demonstrating proficiency in a training environment exhibit vulnerability to adversarial perturbations in input observations during deployment. This underscores the importance of building a robust agent before its r
Externí odkaz:
http://arxiv.org/abs/2408.00023
Autor:
Nguyen, Thanh-Dat, Do-Viet, Tung, Nguyen-Duy, Hung, Luu, Tuan-Hai, Le, Hung, Le, Bach, Patanamon, Thongtanunam
Businesses need to query visually rich documents (VRDs) like receipts, medical records, and insurance forms to make decisions. Existing techniques for extracting entities from VRDs struggle with new layouts or require extensive pre-training data. We
Externí odkaz:
http://arxiv.org/abs/2407.06826
Autor:
Sakong, Darnbi, Vu, Viet Hung, Huynh, Thanh Trung, Nguyen, Phi Le, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Nguyen, Thanh Tam
Recent advancements in recommender systems have focused on integrating knowledge graphs (KGs) to leverage their auxiliary information. The core idea of KG-enhanced recommenders is to incorporate rich semantic information for more accurate recommendat
Externí odkaz:
http://arxiv.org/abs/2407.03665
We present the first analytical expressions for one-loop induced contributions for the decay channels of CP-even Higgs $H\rightarrow h \gamma \gamma$ with $h$ being standard model-like Higgs boson within the framework of Two Higgs Doublet Model in th
Externí odkaz:
http://arxiv.org/abs/2406.15749
Autor:
Chang, Yi, Ren, Zhao, Zhao, Zhonghao, Nguyen, Thanh Tam, Qian, Kun, Schultz, Tanja, Schuller, Björn W.
Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The emergence of edge devices in the Internet of Things (IoT) presents challenges in constructing intricate deep learning models due to constraints in memory and com
Externí odkaz:
http://arxiv.org/abs/2406.15119
We explore an active learning approach for dynamic fair resource allocation problems. Unlike previous work that assumes full feedback from all agents on their allocations, we consider feedback from a select subset of agents at each epoch of the onlin
Externí odkaz:
http://arxiv.org/abs/2406.14784
Optimization under the symplecticity constraint is an approach for solving various problems in quantum physics and scientific computing. Building on the results that this optimization problem can be transformed into an unconstrained problem on the sy
Externí odkaz:
http://arxiv.org/abs/2406.14299
The ability of three-dimensional (3D) spheroid modeling to study the invasive behavior of breast cancer cells has drawn increased attention. The deep learning-based image processing framework is very effective at speeding up the cell morphological an
Externí odkaz:
http://arxiv.org/abs/2406.05349