Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jamal Zarepour-Ahmadabadi"'
Publikováno v:
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, Vol 32, Iss 7, Pp 8067-8079 (2024)
Introduction: Ischemic heart diseases are one of the most common diseases that cause high mortality worldwide. This article has identified various factors affecting heart disease and identified susceptible people using various machine learning method
Externí odkaz:
https://doaj.org/article/9929b5e288364d0f89be6d55eb7cc1e0
In this paper, a new scheme for lossless meaningful visual secret sharing by using XOR properties is presented. In this method, the input secret image is converted into several share images and these shares are distributed among individuals. In the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f51a06c3d6e24752b7f7bbaa48bc0a2d
https://doi.org/10.22541/au.166523043.36863133/v1
https://doi.org/10.22541/au.166523043.36863133/v1
Publikováno v:
Neural Computing and Applications. 34:21583-21606
Texture images classification plays an important role in machine vision that can be used to distinguish the surface and objects of an image from each other. Texture classification is a two-phases process consisting of feature extraction and classific
Publikováno v:
Multimedia Tools and Applications. 77:24073-24096
A new Multi-Stage Multi-Secret Image Sharing (MSMSIS) scheme, based on polynomial sharing and cellular automata, is proposed in this paper. The proposed scheme shares multiple secret images among a number of players. The shares and the authentication
Publikováno v:
Information Sciences. 369:467-480
Recently, numerous studies have been conducted in the area of secret image sharing and steganography. The main objective of these schemes is to produce high-quality tampering-resistant stego images. A number of these methods are based on least signif
Texture images classification using improved local quinary pattern and mixture of ELM-based experts.
Autor:
Armi, Laleh1 (AUTHOR), Abbasi, Elham1 (AUTHOR) e.abbasi@yazd.ac.ir, Zarepour-Ahmadabadi, Jamal1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Dec2022, Vol. 34 Issue 24, p21583-21606. 24p.
Autor:
Firozabadi, S. Barkhordari, Shahzadeh Fazeli, S. A., Ahmadabadi, J. Zarepour, Karbassi, S. M.
Publikováno v:
Iranian Journal of Numerical Analysis & Optimization; 2023, Vol. 13 Issue 4, p763-774, 12p
Autor:
XIAOTIAN WU, PENG YAO
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jan2023, Vol. 19 Issue 1, p1-23, 23p
Publikováno v:
Heart Disease Weekly; 11/1/2024, p297-297, 1p
Publikováno v:
Multimedia Tools & Applications; Sep2018, Vol. 77 Issue 18, p24073-24096, 24p