Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Rabia Riad"'
Publikováno v:
Neurocomputing. 528:178-199
Publikováno v:
Multimedia Tools and Applications. 82:651-679
Publikováno v:
Applied Intelligence. 52:11592-11605
Autor:
Gourrame, Khadija, Douzi, Hassan, Harba, Rachid, Rabia, Riad, Ros, Frederic, ElHajji, Mehamed
Publikováno v:
Image and Signal Processing
Geometric attacks are still challenging issues in image watermarking. In this paper, the robustness of different insertion position and shape of the watermark are evaluated in watermarking scheme based on Fourier-Mellin transform. We propose diagonal
Publikováno v:
Electronics; Volume 11; Issue 2; Pages: 266
Electronics, Vol 11, Iss 266, p 266 (2022)
Electronics, Vol 11, Iss 266, p 266 (2022)
Digital image watermarking is an active research field since it provides protection, security, and authenticity of data. This paper presents development and implementation of a blind and robust watermarking application for ID images under a print-cam
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
OsteoArthritis (OA) is a joint disease caused by cartilage loss in the joint and bone changes. Early knee OA prediction based on bone texture analysis is a difficult task in medical image analysis. This paper presents a new approach based on concepts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::207dcb52e9c12af6341b1ab887e72aae
Publikováno v:
Electronics. 12:74
Currently, most transactions and exchanges are conducted through the Internet thanks to technological tools, running the risk of the falsification and distortion of information. This is due to the massive demand for the virtual world and its easy acc
Publikováno v:
Expert Systems with Applications. 210:118316
Publikováno v:
Knowledge-Based Systems. 241:108288
Autor:
Frederic Ros, Rabia Riad
This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors