Advances in generative adversarial network by Wanliang WANG, Zhuorong LI

Subjects: “…deep learning,generative adversarial network…”
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Survey of generative adversarial network by Zhenglong WANG, Baowen ZHANG

Subjects: “…generative adversarial network…”
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Application of generative adversarial networks for financial data by CUI Yihao, LIU Sen, YE Guangnan

Subjects: “…generative adversarial networks…”
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Botnet detection based on generative adversarial network by Futai ZOU, Yue TAN, Lin WANG, Yongkang JIANG

“…In order to solve the problems of botnets’ strong concealment and difficulty in identification, and improve the detection accuracy of botnets, a botnet detection method based on generative adversarial networks was proposed.By reorganizing the data packets in the botnet traffic into streams, the traffic statistics characteristics in the time dimension and the traffic image characteristics in the space dimension were extracted respectively.Then with the botnet traffic feature generation algorithm based on generative adversarial network, botnet feature samples were produced in the two dimensions.Finally combined with the application of deep learning in botnet detection scenarios, a botnet detection model based on DCGAN and a botnet detection model based on BiLSTM-GAN were proposed.Experiments show that the proposed model improves the botnet detection ability and generalization ability.…”
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Noise robust chi-square generative adversarial network by Hongjun LI, Chaobo LI, Shibing ZHANG

Subjects: “…generative adversarial network…”
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Identity preserving face completion with generative adversarial networks by Xudong WANG, Hongquan WEI, Chao GAO, Ruiyang HUANG

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Generate medical synthetic data based on generative adversarial network by Xiayu XIANG, Jiahui WANG, Zirui WANG, Shaoming DUAN, Hezhong PAN, Rongfei ZHUANG, Peiyi HAN, Chuanyi LIU

Subjects: “…generative adversarial network…”
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Prediksi Penuaan Wajah Manusia Berbasis Generative Adversarial Network by Beladina Elfitri, Ema Rachmawati, Tjokorda Agung Budi Wirayuda

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A progressive growing of conditional generative adversarial networks model by Hui MA, Ruiqin WANG, Shuai YANG

Subjects: “…generative adversarial network…”
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Covert communication method based on tripartite generative adversarial network by Jihong YU, Ziyan LIN, Neng YE, Kai YANG, Jianping AN

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Research Developments in Generative Adversarial Networks for Image Restoration and Communication by Zhou Peng

“…Generative Adversarial Networks (GAN) is always a popular study topic in artificial intelligence. …”
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Survey on the research progress of generative adversarial networks for 6G by Chanyuan MENG, Ke XIONG, Bo GAO, Yu ZHANG, Pingyi FAN

Subjects: “…generative adversarial network…”
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Improving Road Semantic Segmentation Using Generative Adversarial Network by Arnick Abdollahi, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, Abdullah Alamri

“…In this study, we propose a generative adversarial network (GAN)-based deep learning approach for road segmentation from high-resolution aerial imagery. …”
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Differentially private sequence generative adversarial networks for data privacy masking by Yu ZHANG, Xixiang LYU, Yucong ZOU, Yige LI

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Text to Realistic Image Generation with Attentional Concatenation Generative Adversarial Networks by Linyan Li, Yu Sun, Fuyuan Hu, Tao Zhou, Xuefeng Xi, Jinchang Ren

“…In this paper, we propose an Attentional Concatenation Generative Adversarial Network (ACGAN) aiming at generating 1024 × 1024 high-resolution images. …”
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Privacy-enhanced federated learning scheme based on generative adversarial networks by Feng YU, Qingxin LIN, Hui LIN, Xiaoding WANG

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Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation by Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Dmitry Zhiganov, Vishal Shete, Markus Pflitsch, Alexey Melnikov

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Stock price prediction with attentive temporal convolution-based generative adversarial network by Ying Liu, Xiaohua Huang, Liwei Xiong, Ruyu Chang, Wenjing Wang, Long Chen

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Generating context-specific sports training plans by combining generative adversarial networks. by Juquan Tan, Jingwen Chen

“…This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.g., age, heart rate) and motion features from video data. …”
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ADGAN: Adaptive Domain Medical Image Synthesis Based on Generative Adversarial Networks by Liming Xu, Yanrong Lei, Bochuan Zheng, Jiancheng Lv, Weisheng Li

Subjects: “…generative adversarial networks…”
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