Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Cao, Tri"'
Phishing attacks are a major threat to online security, exploiting user vulnerabilities to steal sensitive information. Various methods have been developed to counteract phishing, each with varying levels of accuracy, but they also encounter notable
Externí odkaz:
http://arxiv.org/abs/2408.10738
Autor:
Li, Yuexin, Huang, Chengyu, Deng, Shumin, Lock, Mei Lin, Cao, Tri, Oo, Nay, Lim, Hoon Wei, Hooi, Bryan
Phishing attacks have inflicted substantial losses on individuals and businesses alike, necessitating the development of robust and efficient automated phishing detection approaches. Reference-based phishing detectors (RBPDs), which compare the logos
Externí odkaz:
http://arxiv.org/abs/2403.02253
Autor:
Ho Duc Dat, Nguyen Quang Tao, Nguyen Trung Dung, Nguyen Van Bau, Mai Cao Tri, Dinh Quang Cuong
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1493-1502 (2024)
This paper presents a laboratory study to investigate the wave overtopping over dike on the fringing reef with a large steep fore-reef slope. The experimented models were set up in wave flume, considering three different slopes of dike combined with
Externí odkaz:
https://doaj.org/article/0e21204bedfb4c9fb23e4d6a910db08f
Autor:
Nguyen, Duy M. H., Nguyen, Hoang, Diep, Nghiem T., Pham, Tan N., Cao, Tri, Nguyen, Binh T., Swoboda, Paul, Ho, Nhat, Albarqouni, Shadi, Xie, Pengtao, Sonntag, Daniel, Niepert, Mathias
Obtaining large pre-trained models that can be fine-tuned to new tasks with limited annotated samples has remained an open challenge for medical imaging data. While pre-trained deep networks on ImageNet and vision-language foundation models trained o
Externí odkaz:
http://arxiv.org/abs/2306.11925
Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studies assume that the training and test data are drawn from the
Externí odkaz:
http://arxiv.org/abs/2303.13845
Autor:
Nguyen, Duy M. H., Nguyen, Hoang, Truong, Mai T. N., Cao, Tri, Nguyen, Binh T., Ho, Nhat, Swoboda, Paul, Albarqouni, Shadi, Xie, Pengtao, Sonntag, Daniel
Collecting large-scale medical datasets with fully annotated samples for training of deep networks is prohibitively expensive, especially for 3D volume data. Recent breakthroughs in self-supervised learning (SSL) offer the ability to overcome the lac
Externí odkaz:
http://arxiv.org/abs/2212.01893
Autor:
Pereira, Inês, Frässle, Stefan, Heinzle, Jakob, Schöbi, Dario, Do, Cao Tri, Gruber, Moritz, Stephan, Klaas E.
Dynamic Causal Modeling (DCM) is a Bayesian framework for inferring on hidden (latent) neuronal states, based on measurements of brain activity. Since its introduction in 2003 for functional magnetic resonance imaging data, DCM has been extended to e
Externí odkaz:
http://arxiv.org/abs/2104.02957
Autor:
Nguyen, Tan-Cong, Nguyen, Tien-Phat, Cao, Tri, Dao, Thao Thi Phuong, Ho, Thi-Ngoc, Nguyen, Tam V., Tran, Minh-Triet
Publikováno v:
In Computer Methods and Programs in Biomedicine November 2023 241
Autor:
Nguyen-Le, Duy, Nguyen, Cao-Tri, Ngo-Phan, Minh-Vu, Tran, Thuoc Linh, Phan, Minh-Duy, Unno, Tatsuya, Tran-Van, Hieu
Publikováno v:
In Bioactive Carbohydrates and Dietary Fibre November 2023 30
Publikováno v:
Elektronika ir Elektrotechnika, Vol 29, Iss 1, Pp 49-58 (2023)
In searching for a maximum power point (MPP) using a DC boost converter for photovoltaic (PV) energy conversion systems, we realised that the fast and accurate way to find the suitable duty ratio value is the core problem to enhance the energy conver
Externí odkaz:
https://doaj.org/article/8848dce6fea4492c856c322379c71a4c