Journal articles on the topic 'Generative adversarial networks'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Generative adversarial networks.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
Imamverdiyev, Yadigar, and Firangiz Musayeva. "Analysis of generative adversarial networks." Problems of Information Technology 13, no. 1 (January 24, 2022): 20–27. http://dx.doi.org/10.25045/jpit.v13.i1.03.
Full textThakur, Amey. "Generative Adversarial Networks." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 2307–25. http://dx.doi.org/10.22214/ijraset.2021.37723.
Full textProzur, Vitalii. "Architecture and Formal-mathematical Justification of Generative Adversarial Networks." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 15 (July 15, 2024): 15–22. http://dx.doi.org/10.23939/sisn2024.15.015.
Full textChandra, B. Yashas. "Building a Generative Adversarial Network for Image Synthesis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (July 20, 2024): 1–10. http://dx.doi.org/10.55041/ijsrem36641.
Full textCai, Zhipeng, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, and Yi Pan. "Generative Adversarial Networks." ACM Computing Surveys 54, no. 6 (July 2021): 1–38. http://dx.doi.org/10.1145/3459992.
Full textGoodfellow, Ian, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. "Generative adversarial networks." Communications of the ACM 63, no. 11 (October 22, 2020): 139–44. http://dx.doi.org/10.1145/3422622.
Full textSong, Wenyin, and Haibin Li. "Research on asphalt materials based on machine vision and generate adversarial networks." Highlights in Science, Engineering and Technology 52 (July 4, 2023): 119–24. http://dx.doi.org/10.54097/hset.v52i.8846.
Full textM. Alghazzawi, Daniyal, Syed Hamid Hasan, and Surbhi Bhatia. "Optimized Generative Adversarial Networks for Adversarial Sample Generation." Computers, Materials & Continua 72, no. 2 (2022): 3877–97. http://dx.doi.org/10.32604/cmc.2022.024613.
Full textChang, Yeong-Hwa, Pei-Hua Chung, Yu-Hsiang Chai, and Hung-Wei Lin. "Color Face Image Generation with Improved Generative Adversarial Networks." Electronics 13, no. 7 (March 25, 2024): 1205. http://dx.doi.org/10.3390/electronics13071205.
Full textHuang, Yueming, and Jianhua He. "Advancing Architectural Design Through Generative Adversarial Network Deep Learning Technology." International Journal of Distributed Systems and Technologies 15, no. 1 (August 29, 2024): 1–15. http://dx.doi.org/10.4018/ijdst.353305.
Full textRui Yang, Rui Yang, Tian-Jie Cao Rui Yang, Xiu-Qing Chen Tian-Jie Cao, Feng-rong Zhang Xiu-Qing Chen, and Yun-Yan Qi Feng-rong Zhang. "An Ensemble Denoiser Based on Generative Adversarial Networks to Eliminate Adversarial Perturbations." 電腦學刊 32, no. 5 (October 2021): 055–75. http://dx.doi.org/10.53106/199115992021103205005.
Full textHuang, Wenqi, Lingyu Liang, Zhen Dai, Shang Cao, Huanming Zhang, Xiangyu Zhao, Jiaxuan Hou, Hanju Li, Wenhao Ma, and Liang Che. "Scenario Reduction of Power Systems with Renewable Generations Using Improved Time-GAN." Journal of Physics: Conference Series 2662, no. 1 (December 1, 2023): 012009. http://dx.doi.org/10.1088/1742-6596/2662/1/012009.
Full textHou, Liang, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, and Changhu Wang. "Slimmable Generative Adversarial Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 7746–53. http://dx.doi.org/10.1609/aaai.v35i9.16946.
Full textChoi, Seok-Hwan, Jin-Myeong Shin, Peng Liu, and Yoon-Ho Choi. "ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples." IEEE Access 10 (2022): 33602–15. http://dx.doi.org/10.1109/access.2022.3160283.
Full textSaxena, Divya, and Jiannong Cao. "Generative Adversarial Networks (GANs)." ACM Computing Surveys 54, no. 3 (June 2021): 1–42. http://dx.doi.org/10.1145/3446374.
Full textChao, Xiaopeng, Jiangzhong Cao, Yuqin Lu, Qingyun Dai, and Shangsong Liang. "Constrained Generative Adversarial Networks." IEEE Access 9 (2021): 19208–18. http://dx.doi.org/10.1109/access.2021.3054822.
Full textLi, Chao, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, and Quanshi Zhang. "Interpretable Generative Adversarial Networks." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 1280–88. http://dx.doi.org/10.1609/aaai.v36i2.20015.
Full textWang, Chaoyue, Chang Xu, Xin Yao, and Dacheng Tao. "Evolutionary Generative Adversarial Networks." IEEE Transactions on Evolutionary Computation 23, no. 6 (December 2019): 921–34. http://dx.doi.org/10.1109/tevc.2019.2895748.
Full textZhu, Banghua, Jiantao Jiao, and David Tse. "Deconstructing Generative Adversarial Networks." IEEE Transactions on Information Theory 66, no. 11 (November 2020): 7155–79. http://dx.doi.org/10.1109/tit.2020.2983698.
Full textMitrofanov, E., and V. Grishkin. "Generative Adversarial Networks Quantization." Physics of Particles and Nuclei 55, no. 3 (June 2024): 563–65. http://dx.doi.org/10.1134/s1063779624030596.
Full textZhang, Pengfei, and Xiaoming Ju. "Adversarial Sample Detection with Gaussian Mixture Conditional Generative Adversarial Networks." Mathematical Problems in Engineering 2021 (September 13, 2021): 1–18. http://dx.doi.org/10.1155/2021/8268249.
Full textBhandari, Basant Babu, Aakash Raj Dhakal, Laxman Maharjan, and Asmin Karki. "Nepali Handwritten Letter Generation using GAN." Journal of Science and Engineering 9 (December 31, 2021): 49–55. http://dx.doi.org/10.3126/jsce.v9i9.46308.
Full textZhang, Senwei. "Research Progress of Image Generation Methods Based on Deep Learning." Highlights in Science, Engineering and Technology 103 (June 26, 2024): 28–35. http://dx.doi.org/10.54097/0999vz62.
Full textLee, Minhyeok, and Junhee Seok. "Score-Guided Generative Adversarial Networks." Axioms 11, no. 12 (December 7, 2022): 701. http://dx.doi.org/10.3390/axioms11120701.
Full textWang, Jinrui, Baokun Han, Huaiqian Bao, Mingyan Wang, Zhenyun Chu, and Yuwei Shen. "Data augment method for machine fault diagnosis using conditional generative adversarial networks." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 12 (June 7, 2020): 2719–27. http://dx.doi.org/10.1177/0954407020923258.
Full textDandekar, Anushree, Rohini Malladi, Payal Gore, and Dr Vipul Dalal. "Text to Image Synthesis using Generative Adversarial Networks." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 2723–30. http://dx.doi.org/10.22214/ijraset.2023.50584.
Full textFu Jie Tey, Fu Jie Tey, Tin-Yu Wu Fu Jie Tey, Yueh Wu Tin-Yu Wu, and Jiann-Liang Chen Yueh Wu. "Generative Adversarial Network for Simulation of Load Balancing Optimization in Mobile Networks." 網際網路技術學刊 23, no. 2 (March 2022): 297–304. http://dx.doi.org/10.53106/160792642022032302010.
Full textIranmanesh, Seyed Mehdi, and Nasser M. Nasrabadi. "HGAN: Hybrid generative adversarial network." Journal of Intelligent & Fuzzy Systems 40, no. 5 (April 22, 2021): 8927–38. http://dx.doi.org/10.3233/jifs-201202.
Full textSajeeda, Afia, and B. M. Mainul Hossain. "Exploring generative adversarial networks and adversarial training." International Journal of Cognitive Computing in Engineering 3 (June 2022): 78–89. http://dx.doi.org/10.1016/j.ijcce.2022.03.002.
Full textRing, Markus, Daniel Schlör, Dieter Landes, and Andreas Hotho. "Flow-based network traffic generation using Generative Adversarial Networks." Computers & Security 82 (May 2019): 156–72. http://dx.doi.org/10.1016/j.cose.2018.12.012.
Full textWang, Xuan, Lijun Sun, Abdellah Chehri, and Yongchao Song. "A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images." Remote Sensing 15, no. 20 (October 21, 2023): 5062. http://dx.doi.org/10.3390/rs15205062.
Full textSun, Guangling, Yuying Su, Chuan Qin, Wenbo Xu, Xiaofeng Lu, and Andrzej Ceglowski. "Complete Defense Framework to Protect Deep Neural Networks against Adversarial Examples." Mathematical Problems in Engineering 2020 (May 11, 2020): 1–17. http://dx.doi.org/10.1155/2020/8319249.
Full textDewi, Christine, Rung-Ching Chen, Yan-Ting Liu, and Hui Yu. "Various Generative Adversarial Networks Model for Synthetic Prohibitory Sign Image Generation." Applied Sciences 11, no. 7 (March 24, 2021): 2913. http://dx.doi.org/10.3390/app11072913.
Full textLi, Xu, Bowei Li, Minghao Fang, Rui Huang, and Xiaoran Huang. "BaMSGAN: Self-Attention Generative Adversarial Network with Blur and Memory for Anime Face Generation." Mathematics 11, no. 20 (October 23, 2023): 4401. http://dx.doi.org/10.3390/math11204401.
Full textYang, Hongyi, Chengqi Xue, Xiaoying Yang, and Han Yang. "Icon Generation Based on Generative Adversarial Networks." Applied Sciences 11, no. 17 (August 26, 2021): 7890. http://dx.doi.org/10.3390/app11177890.
Full textAsyaev, G. D. "Prospects for Generative - Adversarial Networks in Network Traffic Classification Tasks." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012174. http://dx.doi.org/10.1088/1742-6596/2096/1/012174.
Full textChi, Wanle, Yun Huoy Choo, and Ong Sing Goh. "Review of Generative Adversarial Networks in Image Generation." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 1 (January 20, 2022): 3–7. http://dx.doi.org/10.20965/jaciii.2022.p0003.
Full textDi Giammarco, Marcello, Antonella Santone, Mario Cesarelli, Fabio Martinelli, and Francesco Mercaldo. "Evaluating Deep Learning Resilience in Retinal Fundus Classification with Generative Adversarial Networks Generated Images." Electronics 13, no. 13 (July 4, 2024): 2631. http://dx.doi.org/10.3390/electronics13132631.
Full textBerezsky, O. M., and P. B. Liashchynskyi. "METHOD OF GENERATIVE-ADVERSARIAL NETWORKS SEARCHING ARCHITECTURES FOR BIOMEDICAL IMAGES SYNTHESIS." Radio Electronics, Computer Science, Control, no. 1 (April 2, 2024): 104. http://dx.doi.org/10.15588/1607-3274-2024-1-10.
Full textYang, LianShuQing, and Jiahui Li. "Research on the Creation of Chinese National Cultural Identity Symbols Based on Visual Images." Mathematical Problems in Engineering 2022 (September 13, 2022): 1–9. http://dx.doi.org/10.1155/2022/8848307.
Full textLai, Peter, and Feruza Amirkulova. "Acoustic metamaterial design using Conditional Wasserstein Generative Adversarial Networks." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A253. http://dx.doi.org/10.1121/10.0011234.
Full textReddi, Surya Prakasa Rao, Madhusudhana Rao T.V., Srinivasa Rao P., and Prakash Bethapudi. "An Efficient Method for Facial Sketches Synthesization Using Generative Adversarial Networks." Webology 19, no. 1 (January 20, 2022): 3119–29. http://dx.doi.org/10.14704/web/v19i1/web19206.
Full textAgarwal, Arun, Swatishee Chhotaray, Niraj Kumar Roul, and Saurabh N. Mehta. "A Review Super Resolution Using Generative Adversarial Network-Applications and Challenges." Middle East Research Journal of Engineering and Technology 3, no. 1 (January 12, 2023): 1–6. http://dx.doi.org/10.36348/merjet.2023.v03i01.001.
Full textPriyanka, Kumari, Sneha Shrishti, and Siddhi Jain. "4G/VoLTE- Spectrum Sensing using Cyclostationary Detection (CS-SS) Method: A Review." Middle East Research Journal of Engineering and Technology 3, no. 1 (January 14, 2023): 7–11. http://dx.doi.org/10.36348/merjet.2023.v03i01.002.
Full textSongyuan, Li, Mengxuan Fan, and Renqiu Chen. "Overview of Generative Adversarial Networks." Journal of Physics: Conference Series 1873, no. 1 (April 1, 2021): 012071. http://dx.doi.org/10.1088/1742-6596/1873/1/012071.
Full textQian, Wenliang, Yang Xu, Wangmeng Zuo, and Hui Li. "Self-Sparse Generative Adversarial Networks." CAAI Artificial Intelligence Research 1, no. 1 (September 2022): 68–78. http://dx.doi.org/10.26599/air.2022.9150005.
Full textLiu, Lanlan, Yuting Zhang, Jia Deng, and Stefano Soatto. "Dynamically Grown Generative Adversarial Networks." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 10 (May 18, 2021): 8680–87. http://dx.doi.org/10.1609/aaai.v35i10.17052.
Full textSkandarani, Youssef, Alain Lalande, Jonathan Afilalo, and Pierre-Marc Jodoin. "Generative Adversarial Networks in Cardiology." Canadian Journal of Cardiology 38, no. 2 (February 2022): 196–203. http://dx.doi.org/10.1016/j.cjca.2021.11.003.
Full textChen, Yao, Qingyi Gao, and Xiao Wang. "Inferential Wasserstein generative adversarial networks." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 84, no. 1 (November 15, 2021): 83–113. http://dx.doi.org/10.1111/rssb.12476.
Full textZhai, Zhonghua. "Auto-encoder generative adversarial networks." Journal of Intelligent & Fuzzy Systems 35, no. 3 (October 1, 2018): 3043–49. http://dx.doi.org/10.3233/jifs-169659.
Full text