Unimodal‐Bio‐GAN: Keyless biometric salting scheme based on generative adversarial network by Mayada Tarek, Eslam Hamouda, Sara El‐Metwally

“…In this article, we propose unimodal‐Bio‐GAN, a reliable keyless biometric salting technique based on standard generative adversarial network (GAN). In unimodal‐Bio‐GAN, a random permuted version of the human biometric data is implicitly considered as a salting key and required only during the enrolment stage, which increases the system reliability to overcome different security attacks. …”
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Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model by Dechen Yao, Qiang Sun, Jianwei Yang, Hengchang Liu, Jiao Zhang

“…Exploiting the capacity of a Convolution Neural Network (CNN) to process unbalanced data to solve tedious and inefficient manual processing, a fault diagnosis method based on a Generative Adversarial Network (GAN) and a Residual Network (ResNet) was developed. …”
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A Multi-Index Generative Adversarial Network for Tool Wear Detection with Imbalanced Data by Guokai Zhang, Haoping Xiao, Jingwen Jiang, Qinyuan Liu, Yimo Liu, Liying Wang

“…In this paper, a novel multi-index generative adversarial network (MI-GAN) is proposed to detect the tool wear conditions subject to imbalanced signal data. …”
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Profile to frontal face recognition in the wild using coupled conditional generative adversarial network by Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi

“…A coupled conditional generative adversarial network (cpGAN) structure is leveraged to find the hidden relationship between the profile and frontal images in a latent common embedding subspace. …”
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Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty by Baokun Han, Sixiang Jia, Guifang Liu, Jinrui Wang

“…Recently, generative adversarial networks (GANs) are widely applied to increase the amounts of imbalanced input samples in fault diagnosis. …”
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Remote sensing image dehazing using a wavelet-based generative adversarial networks by Guangda Chen, Yanfei Jia, Yanjiang Yin, Shuaiwei Fu, Dejun Liu, Tenghao Wang

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Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis by Jun-Min Lee, Tae-Bin Ha

“…Generative Adversarial Networks (GAN) is a model for data synthesis, which creates plausible data through the competition of generator and discriminator. …”
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5G OFDM channel estimation method based on complex-valued generative adversarial network by LU Yuanzhi, WEI Xianglin, YU Long, YAO Changhua

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Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks by Eun‐Young Ji, Yong‐Jae Moon, Eunsu Park

“…Abstract In this study, we make a model, which is called DeepIRI, to generate improved International Reference Ionosphere (IRI) total electron content (TEC) maps by deep learning based on conditional Generative Adversarial Networks. For this we consider 48,901 pairs of IRI TEC maps and International Global Navigation Satellite Systems (GNSS) Service (IGS) TEC maps from 2001 to 2011 for training the model. …”
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Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning by Zhanjie Liu, Yixuan Huo, Qionghai Chen, Siqi Zhan, Qian Li, Qingsong Zhao, Lihong Cui, Jun Liu

Subjects: “…generative adversarial networks…”
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Grounding Grid Electrical Impedance Imaging Method Based on an Improved Conditional Generative Adversarial Network by Ke Zhu, Donghui Luo, Zhengzheng Fu, Zhihang Xue, Xianghang Bu

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A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation by Xiurong Zhang, Daoliang Li, Xueqian Fu

Subjects: “…generative adversarial network…”
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Reconstruction of Random Structures Based on Generative Adversarial Networks: Statistical Variability of Mechanical and Morphological Properties by Mikhail Tashkinov, Yulia Pirogova, Evgeniy Kononov, Aleksandr Shalimov, Vadim V. Silberschmidt

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Research on intrusion detection for maritime meteorological sensor network based on balancing generative adversarial network by Xin SUN, Guifu ZHANG, Hongyan XING, Wang Zenghui

Subjects: “…balancing generative adversarial network…”
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Generative adversarial networks based adaptive modulation and coding for next-generation 5G communication systems by A. Manikandan, Rakesh Thoppaen Suresh Babu, S Jai Ganesh, T. Sanjay

“…This paper discusses the novel rate adaptation approach that leverages generative adversarial networks (GAN) along with AMC to ensure efficient and reliable data transfer in a dynamic and often challenging environment, that maximizes data throughput even under varying conditions and offers robustness under adverse ones.…”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

Subjects: “…crude oil-driven conditional generative adversarial network…”
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Adapting a style based generative adversarial network to create images depicting cleft lip deformity by Abdullah Hayajneh, Erchin Serpedin, Mohammad Shaqfeh, Graeme Glass, Mitchell A. Stotland

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Enhancing Handwritten Digit Recognition using Auxiliary Classifier Generative Adversarial Networks and Self-attention Mechanism by Hu Tingkai

“…This research study investigates the integration of the self-attention mechanism and the Auxiliary Classifier Generative Adversarial Networks (ACGAN)to improve handwritten digital recognition using the MNIST data set. …”
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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

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FFA-GAN: A Generative Adversarial Network Based on Feature Fusion Attention for Intelligent Safety Monitoring by R. Chang, B. Zhang, Y. Zhang, S. Gao, S. Zhao, Y. Rao, X. Zhai, T. Wang, Y. Yang

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