Prediction of multi-layer metasurface design using conditional deep convolutional generative adversarial networks

被引：0
|
作者：
Nezaratizadeh, Ali [1 ]
Hashemi, Seyed Mohammad [2 ]
Bod, Mohammad [2 ]
机构：
[1] Department of Electrical and Computer Engineering, University of Florida, Gainesville,FL, United States
[2] Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
来源：
Optik | 2024年 / 313卷
关键词：
Compendex;
D O I：
10.1016/j.ijleo.2024.172005
中图分类号：
学科分类号：
摘要：
Generative adversarial networks
引用
收藏
相关论文
共 50 条
  • [31] Evolving Levels for General Games Using Deep Convolutional Generative Adversarial Networks
    Irfan, Ayesha
    Zafar, Adeel
    Hassan, Shahbaz
    2019 11TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING (CEEC), 2019, : 96 - 101
  • [32] ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks
    Zingales, Tiziano
    Waldmann, Ingo P.
    ASTRONOMICAL JOURNAL, 2018, 156 (06):
  • [33] Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks
    Fujioka, Tomoyuki
    Mori, Mio
    Kubota, Kazunori
    Kikuchi, Yuka
    Katsuta, Leona
    Adachi, Mio
    Oda, Goshi
    Nakagawa, Tsuyoshi
    Kitazume, Yoshio
    Tateishi, Ukihide
    DIAGNOSTICS, 2019, 9 (04)
  • [34] Image Synthesis in Multi-Contrast MRI with Deep Convolutional Generative Adversarial Networks
    Kawahara, D.
    Ozawa, S.
    Saito, A.
    Miki, K.
    Murakami, Y.
    Kimura, T.
    Nagata, Y.
    MEDICAL PHYSICS, 2019, 46 (06) : E160 - E160
  • [35] BScGAN: DEEP BACKGROUND SUBTRACTION WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
    Bakkay, M. C.
    Rashwan, H. A.
    Salmane, H.
    Khoudour, L.
    Puig, D.
    Ruichek, Y.
    2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 4018 - 4022
  • [36] Fast prediction of complicated temperature field using Conditional Multi-Attention Generative Adversarial Networks (CMAGAN)
    Chen, Jincheng
    Zhu, Feiding
    Han, Yuge
    Chen, Chen
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 186 (186)
  • [37] Trajectory Prediction using Conditional Generative Adversarial Network
    Barbie, Thibault
    Nishida, Takeshi
    PROCEEDINGS OF THE 2017 INTERNATIONAL SEMINAR ON ARTIFICIAL INTELLIGENCE, NETWORKING AND INFORMATION TECHNOLOGY (ANIT 2017), 2017, 150 : 193 - 197
  • [38] Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks
    Corradini, Barbara Toniella
    Andreini, Paolo
    Hagenbuchner, Markus
    Scarselli, Franco
    Tsoi, Ah Chung
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT V, 2023, 14258 : 53 - 64
  • [39] Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks
    Nobari, Amin Heyrani
    Chen, Wei
    Ahmed, Faez
    JOURNAL OF MECHANICAL DESIGN, 2022, 144 (02)
  • [40] Spectrum sensing based on deep convolutional generative adversarial networks
    Liu, Zheng
    Jing, Xiaojun
    Zhang, Ronghui
    Mu, Junsheng
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 796 - 801
12345