Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Trinh, Tan Dat"'
Autor:
Dang, Le Tran Anh, Ngoc, Vong Duong, Thien Vu, Pham Cung Le, Truong, Nguyen Nhat, Bao, Pham The, Trinh, Tan Dat
Publikováno v:
International Journal of Intelligent Transportation Systems Research; Aug2024, Vol. 22 Issue 2, p374-389, 16p
Akademický článek
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Autor:
Thuy, Le Nhi Lam1,2 (AUTHOR), Trinh, Tan Dat1 (AUTHOR), Anh, Le Hoang1 (AUTHOR), Kim, Jin Young3 (AUTHOR), Hieu, Huynh Trung2 (AUTHOR), Bao, Pham The1 (AUTHOR)
Publikováno v:
BioMed Research International. 4/9/2021, p1-10. 10p.
Publikováno v:
Computer Systems Science and Engineering. 40:237-246
Autor:
Trinh Tan Dat, Le Tran Anh Dang, Nguyen Nhat Truong, Pham Cung Le Thien Vu, Vu Ngoc Thanh Sang, Pham Thi Vuong, Pham The Bao
Publikováno v:
Computer Systems Science and Engineering. 40:539-555
Autor:
Trinh Tan Dat, Pham Cung Le Thien Vu, Nguyen Nhat Truong, Le Tran Anh Dang, Vu Ngoc Thanh Sang, Pham The Bao
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
A new modification of multi-CNN ensemble training is investigated by combining multiloss functions from state-of-the-art deep CNN architectures for leaf image recognition. We first apply the U-Net model to segment leaf images from the background to i
Autor:
Pham The Bao, Le Tran Anh Dang, Nguyen Duy Tam, Nguyen Nhat Truong, Pham Cung Le Thien Vu, Trinh Tan Dat
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 12:568
This paper presents an effective Vietnamese handwritten text recognition model by applying an improved convolutional recurrent neural networks (CRNNs) model to high school enrollment forms in Tay Ninh province, Vietnam. First, the proposed model extr
Publikováno v:
International Journal of Intelligent Information and Database Systems. 14:1
We introduce automatic Vietnamese speech recognition (ASR) system for converting Vietnamese speech to text on a real operating room ambient noise recorded during liver surgery. First, we propose applying a combination between convolutional neural net
Publikováno v:
ICITCS
In this paper we propose an speaker verification approach by applying low-rank recovery approach under total variability space, which is trained by a modified Gaussian Mixture Modeling (MGMM) with the observation confidence. In this model, we constru
Publikováno v:
Mobile & Wireless Technologies 2016; 2016, p109-116, 8p