Zobrazeno 1 - 10
of 3 836
pro vyhledávání: '"Tran, Duc"'
Autor:
Ledesma-Martin, J. Omar, Galindez-Ruales, Edgar, Krishnia, Sachin, Fuhrmann, Felix, Tran, Duc Minh, Gupta, Rahul, Gasser, Marcel, Go, Dongwook, Jakob, Gerhard, Mokrousov, Yuriy, Kläui, Mathias
In magnetic systems, angular momentum is carried by the spin and orbital degrees of freedom. Non-local devices can be used to study angular momentum transport. They consist of parallel heavy-metal nanowires placed on top of magnetic insulators like y
Externí odkaz:
http://arxiv.org/abs/2411.07044
Federated Learning (FL) is a machine learning method for training with private data locally stored in distributed machines without gathering them into one place for central learning. Despite its promises, FL is prone to critical security risks. First
Externí odkaz:
http://arxiv.org/abs/2411.02773
Publikováno v:
ACM Multimedia 2024, pages 1467-1475
Recently, transformer-based techniques incorporating superpoints have become prevalent in 3D instance segmentation. However, they often encounter an over-segmentation problem, especially noticeable with large objects. Additionally, unreliable mask pr
Externí odkaz:
http://arxiv.org/abs/2411.01781
Autor:
Le, Thanh-Dung, Ha, Vu Nguyen, Nguyen, Ti Ti, Eappen, Geoffrey, Thiruvasagam, Prabhu, Chou, Hong-fu, Tran, Duc-Dung, Garces-Socarras, Luis M., Gonzalez-Rios, Jorge L., Merlano-Duncan, Juan Carlos, Chatzinotas, Symeon
This study presents an innovative dynamic weighting knowledge distillation (KD) framework tailored for efficient Earth observation (EO) image classification (IC) in resource-constrained settings. Utilizing EfficientViT and MobileViT as teacher models
Externí odkaz:
http://arxiv.org/abs/2411.00209
Autor:
Chou, Hong-fu, Ha, Vu Nguyen, Thiruvasagam, Prabhu, Le, Thanh-Dung, Eappen, Geoffrey, Nguyen, Ti Ti, Tran, Duc Dung, Garces-Socarras, Luis M., Merlano-Duncan, Juan Carlos, Chatzinotas, Symeon
Earth observation (EO) systems are essential for mapping, catastrophe monitoring, and resource management, but they have trouble processing and sending large amounts of EO data efficiently, especially for specialized applications like agriculture and
Externí odkaz:
http://arxiv.org/abs/2410.21916
Autor:
Zhou, Xin, Tran, Duc-Manh, Le-Cong, Thanh, Zhang, Ting, Irsan, Ivana Clairine, Sumarlin, Joshua, Le, Bach, Lo, David
Software vulnerabilities pose significant security challenges and potential risks to society, necessitating extensive efforts in automated vulnerability detection. There are two popular lines of work to address automated vulnerability detection. On o
Externí odkaz:
http://arxiv.org/abs/2407.16235
We develop a multiscale patch scheme for studying the system level characteristics of heterogeneous functional graded beams. The algorithm computes the detailed beam dynamics on the microscale, but only in small patches of the beam domain, and then a
Externí odkaz:
http://arxiv.org/abs/2407.11416
Autor:
Anh, Tran Duc
We prove that the rank of the derivative of the projection from spectral unit ball to symmetrized polydisc is equal to the degree of the minimal polynomial of the matrix at which we take derivative.
Comment: 7 pages, 0 figure. This small result
Comment: 7 pages, 0 figure. This small result
Externí odkaz:
http://arxiv.org/abs/2406.18302
Cascades are a common type of machine learning systems in which a large, remote model can be queried if a local model is not able to accurately label a user's data by itself. Serving stacks for large language models (LLMs) increasingly use cascades d
Externí odkaz:
http://arxiv.org/abs/2404.01041
Autor:
Somu, Sai Teja, Tran, Duc Van Khanh
Publikováno v:
Journal of Integer Sequences, 27(5), Article 24.5.1, 2024
Practical numbers are positive integers $n$ such that every positive integer less than or equal to $n$ can be written as a sum of distinct positive divisors of $n$. In this paper, we show that all positive integers can be written as a sum of a practi
Externí odkaz:
http://arxiv.org/abs/2403.13533