Zobrazeno 1 - 10
of 1 623
pro vyhledávání: '"Hoang, Viet"'
Designing neural network architectures that can handle data symmetry is crucial. This is especially important for geometric graphs whose properties are equivariance under Euclidean transformations. Current equivariant graph neural networks (EGNNs), p
Externí odkaz:
http://arxiv.org/abs/2410.04692
We completely determine the depth and regularity of symbolic powers of the fiber product of two homogeneous ideals in disjoint sets of variables, given knowledge of the symbolic powers of each factor. Generalizing previous joint work with Vu, we prov
Externí odkaz:
http://arxiv.org/abs/2409.17551
Ego-velocity estimation from point cloud measurements of a millimeter-wave frequency-modulated continuous wave (mmWave FMCW) radar has become a crucial component of radar-inertial odometry (RIO) systems. Conventional approaches often perform poorly w
Externí odkaz:
http://arxiv.org/abs/2409.16847
We present a fully autonomous self-recharging drone system capable of long-duration sustained operations near powerlines. The drone is equipped with a robust onboard perception and navigation system that enables it to locate powerlines and approach t
Externí odkaz:
http://arxiv.org/abs/2403.06533
In this paper, we propose a radar odometry structure that directly utilizes radar velocity measurements for dead reckoning while maintaining its ability to update estimations within the Kalman filter framework. Specifically, we employ the Doppler vel
Externí odkaz:
http://arxiv.org/abs/2403.05136
Autor:
Hoang, Viet Anh, Nguyen, Huu Cuong, Truong, Ba Thanh, Le, Phuong Uyen, Phan, Hoang Long, Thai, Thi Hong An
Publikováno v:
Review of Behavioral Finance, 2024, Vol. 16, Issue 6, pp. 973-997.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RBF-03-2024-0058
Autor:
Nguyen, Tan-Minh, Nguyen, Xuan-Hoa, Mai, Ngoc-Duy, Hoang, Minh-Quan, Nguyen, Van-Huan, Nguyen, Hoang-Viet, Nguyen, Ha-Thanh, Vuong, Thi-Hai-Yen
This paper describes the NOWJ1 Team's approach for the Automated Legal Question Answering Competition (ALQAC) 2023, which focuses on enhancing legal task performance by integrating classical statistical models and Pre-trained Language Models (PLMs).
Externí odkaz:
http://arxiv.org/abs/2309.09070
Publikováno v:
Foundations of Management, Vol 16, Iss 1, Pp 195-216 (2024)
This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest, in the early warning system for debt group migration in a Vietnamese commercial bank. In predicting customers’ ove
Externí odkaz:
https://doaj.org/article/770b74c70e3d4d55a990d55a9b6dd149
Innovative enhancement in embedded system platforms, specifically hardware accelerations, significantly influence the application of deep learning in real-world scenarios. These innovations translate human labor efforts into automated intelligent sys
Externí odkaz:
http://arxiv.org/abs/2307.16834
Autor:
Pham, Quang Huy, Hoang, Viet Ha
We study the Electrical Impedance Tomography Bayesian inverse problem for recovering the conductivity given noisy measurements of the voltage on some boundary surface electrodes. The uncertain conductivity depends linearly on a countable number of un
Externí odkaz:
http://arxiv.org/abs/2306.08557