Pre-Trained Language Model-Based Deep Learning for Sentiment Classification of Vietnamese Feedback

Autor: Cu Vinh Loc, Truong Xuan Viet, Tran Hoang Viet, Le Hoang Thao, Nguyen Hoang Viet

Publikováno v: International Journal of Computational Intelligence and Applications.

In recent years, with the strong and outstanding development of the Internet, the need to refer to the feedback of previous customers when shopping online is increasing. Therefore, websites are developed to allow users to share experiences, reviews,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::630966f0c419a4413dbd10e79afc033f
https://doi.org/10.1142/s1469026823500165

Giải pháp giám sát thời gian vận hành của thiết bị điện

Autor: Lê Hoàng Thảo, Đặng Hiếu Nghĩa, Nguyễn Đại Nghĩa, Cù Vĩnh Lộc, Trương Xuân Việt, Trần Hoàng Việt, Lê Thành Phiêu, Trần Hữu Danh, Lương Vinh Quốc Danh

Publikováno v: Tạp chí Khoa học Đại học Cần Thơ, Vol 60, Iss 6 (2024)

Trường Đại học Cần Thơ sở hữu nhiều thiết bị điện chuyên dụng có giá trị cao. Các thiết bị chuyên dụng này phục vụ cho công tác đào tạo, nghiên cứu và thương mại. Để tối ưu hóa việc k

Externí odkaz: https://doaj.org/article/13c7b19db8924f30aa1fb6519c747473

Content Region Detection and Feature Adjustment for Securing Genuine Documents

Autor: Jean-Christophe Burie, Cu Vinh Loc, Tran Cao De, Jean-Marc Ogier

Publikováno v: KSE

Motivated by increasing the tampering of genuine documents during a transmission over digital channels, we focus on developing a data hiding framework for determining whether a received document is genuine or falsified. The input document is transfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fd63997f96dbb7072043c12122cfd807
https://doi.org/10.1109/kse50997.2020.9287382

Document Images Watermarking for Security Issue using Fully Convolutional Networks

Autor: Jean-Christophe Burie, Jean-Marc Ogier, Cu Vinh Loc

Publikováno v: ICPR
2018 24th International Conference on Pattern Recognition (ICPR)
2018 24th International Conference on Pattern Recognition (ICPR), Aug 2018, Beijing, China. pp.1091-1096, ⟨10.1109/ICPR.2018.8546035⟩

In the literature, the watermarking schemes for document images in spatial domain mainly focus on text content, so they need to be further improved to be possibly applied on general content. In this paper, we propose a blindly invisible watermarking

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::122a432434f07b792b33eb077d72c6bd
https://doi.org/10.1109/icpr.2018.8546035

A Spatial Domain Steganography for Grayscale Documents Using Pattern Recognition Techniques

Autor: Cu Vinh Loc, Jean-Christophe Burie, Jean-Marc Ogier

Publikováno v: IWCDF@ICDAR
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, Japan. pp.21-26, ⟨10.1109/ICDAR.2017.391⟩

Steganography is an effective way to hide a secret message into a document image with the objective of providing authenticity of transmitted documents. Steganography has been widely used for natural images but few researches have been carried out to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31333c96896ae7a8caeed49b184697d0
https://doi.org/10.1109/icdar.2017.391