Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Fardin Akhlaghian Tab"'
Autor:
Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Abdulrahman Lotfi, Navid Salahian, Jovan Chavoshinejad
Publikováno v:
Information Sciences. 621:562-579
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6f07f3e61e1e258f75fc419887c22f4
https://doi.org/10.1016/j.ins.2022.11.120
https://doi.org/10.1016/j.ins.2022.11.120
Publikováno v:
Multimedia Tools and Applications. 81:33823-33849
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78030e682a69cb2145eee6c46cc87d24
https://doi.org/10.1007/s11042-022-13109-2
https://doi.org/10.1007/s11042-022-13109-2
Publikováno v:
Information Sciences. 570:323-341
In this paper, a new collaborative filtering method is proposed based on finding similar users directly and indirectly to overcome sparsity challenge. Moreover, selecting these users through extracting dominant opinion patterns leads to tackling scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::298f2a706bf9e8152bebb8f7d4fb7752
https://doi.org/10.1016/j.ins.2021.04.025
https://doi.org/10.1016/j.ins.2021.04.025
Publikováno v:
Pattern Recognition. 137:109282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e45c98e67b912f4303728a4b51447e6
https://doi.org/10.1016/j.patcog.2022.109282
https://doi.org/10.1016/j.patcog.2022.109282
Publikováno v:
Expert Systems with Applications. 214:119051
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fab132dbf8ba9a54da01990345e334d2
https://doi.org/10.1016/j.eswa.2022.119051
https://doi.org/10.1016/j.eswa.2022.119051
Publikováno v:
Cluster Computing. 23:2719-2733
Nowadays, social networks sites (SNs) are widely used in a variety of applications such as viral marketing. Given a huge number of users on SNs, the process of selecting appropriate users as the target set is key decision for enterprises to conduct c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5ccc361cf2d77b0bf535dddb6ae3c8
https://doi.org/10.1007/s10586-019-03039-4
https://doi.org/10.1007/s10586-019-03039-4
Autor:
Ali Fatahbeygi, Fardin Akhlaghian Tab
Publikováno v:
Journal of Information Security and Applications. 45:71-78
In this paper a new robust image watermarking algorithm based on blocks classification and visual cryptography (VC) is presented. First the original image is decomposed into non-overlapping blocks. Then, we use canny edge detection and the support ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d0f0761e13c373583893d4003a37764
https://doi.org/10.1016/j.jisa.2019.01.005
https://doi.org/10.1016/j.jisa.2019.01.005
Publikováno v:
Neural Computing and Applications. 31:4963-4982
The “curse of dimensionality” issue caused by high-dimensional datasets not only imposes high memory and computational costs but also deteriorates the capability of learning methods. The main purpose of feature selection is to reduce the dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c3819dc551ce0a829a6331d87587f65
https://doi.org/10.1007/s00521-018-03991-z
https://doi.org/10.1007/s00521-018-03991-z
Publikováno v:
Expert Systems with Applications. 183:115293
kNN algorithm, as an effective data mining technique, is always attended for supervised classification. On the other hand, the previously proposed kNN finding methods cannot be considered as efficient methods for dealing with big data. As there is da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bcbd8cccb0eb14bd2190f6147d684f
https://doi.org/10.1016/j.eswa.2021.115293
https://doi.org/10.1016/j.eswa.2021.115293
Publikováno v:
International Journal of Machine Learning and Cybernetics. 9:1457-1472
The need for efficient image browsing and searching motivates the use of Content-Based Image Retrieval (CBIR) systems. However, they suffer from a big gap between high-level image semantics and low-level features. So, a learning process to reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ae67ab69d8532eeb8270dd73e2860b1
https://doi.org/10.1007/s13042-017-0656-x
https://doi.org/10.1007/s13042-017-0656-x