
March 25, 2022
Tosin Akinwale Adesuyi, Byeong Man Kim , and Jongwan Kim
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https://doi.org/10.5391/IJFIS.2022.22.1.1Ezreen Farina Shair, Radhi Hafizuddin Razali, Abdul Rahim Abdullah et al.
International Journal of Fuzzy Logic and Intelligent Systems 2022; 22(1): 11-22
https://doi.org/10.5391/IJFIS.2022.22.1.11Moa’ath N. Oqielat, Ahmad El-Ajou, Zeyad Al-Zhour et al.
International Journal of Fuzzy Logic and Intelligent Systems 2022; 22(1): 23-47
https://doi.org/10.5391/IJFIS.2022.22.1.23Joshua Evan Arijanto, Steven Geraldy, Cyrena Tania et al.
International Journal of Fuzzy Logic and Intelligent Systems 2021; 21(3): 310-316
https://doi.org/10.5391/IJFIS.2021.21.3.310Muhammad Ihsan, Atiqe Ur Rahman, Muhammad Saeed et al.
International Journal of Fuzzy Logic and Intelligent Systems 2021; 21(3): 233-242
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International Journal of Fuzzy Logic and Intelligent Systems 2021; 21(3): 205-212
https://doi.org/10.5391/IJFIS.2021.21.3.205Wang-Su Jeon and Sang-Yong Rhee
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https://doi.org/10.5391/IJFIS.2021.21.3.222Wan-Kyoo Choi,Sung-Joo Lee
Int. J. Fuzzy Log. Intell. Syst. 2001; 1(1): 1-5
Lae-Jeong Park,Cheol Hoon Park
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Tai-Hoon Cho,Young-Kee Jung,Hyun-Chan Cho
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Hwan-Il Kang,Hwan-soo Choi
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Nishant Chauhan and Byung-Jae Choi
International Journal of Fuzzy Logic and Intelligent Systems 2021; 21(4): 349-357
Ismail Kich, El Bachir Ameur, and Youssef Taouil
International Journal of Fuzzy Logic and Intelligent Systems 2021; 21(4): 358-368
The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
Image steganography architecture based on deep neural network.
|@|~(^,^)~|@|Architecture of proposed scheme.
|@|~(^,^)~|@|The dilated convolution with rates of 1, 2 and 4.
|@|~(^,^)~|@|The dilated inception module.
|@|~(^,^)~|@|Hiding network scheme.
|@|~(^,^)~|@|Reveal network scheme.
|@|~(^,^)~|@|The residual images between the cover images sampled from test images from ImageNet and their corresponding stego images, enhanced 5 and 10 times.
|@|~(^,^)~|@|The residual images between the secret images sampled from test images from ImageNet and their corresponding revealed images, enhanced 5 and 10 times.