Literatura académica sobre el tema "CONDITIONAL GENERATIVE ADVERARIAL NETWORKS (CGAN)"
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Artículos de revistas sobre el tema "CONDITIONAL GENERATIVE ADVERARIAL NETWORKS (CGAN)"
Zhou, Guoqiang, Yi Fan, Jiachen Shi, Yuyuan Lu y Jun Shen. "Conditional Generative Adversarial Networks for Domain Transfer: A Survey". Applied Sciences 12, n.º 16 (21 de agosto de 2022): 8350. http://dx.doi.org/10.3390/app12168350.
Texto completoLee, Minhyeok y Junhee Seok. "Estimation with Uncertainty via Conditional Generative Adversarial Networks". Sensors 21, n.º 18 (15 de septiembre de 2021): 6194. http://dx.doi.org/10.3390/s21186194.
Texto completoZhang, Hao y Wenlei Wang. "Imaging Domain Seismic Denoising Based on Conditional Generative Adversarial Networks (CGANs)". Energies 15, n.º 18 (8 de septiembre de 2022): 6569. http://dx.doi.org/10.3390/en15186569.
Texto completoZand, Jaleh y Stephen Roberts. "Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)". Signals 2, n.º 3 (1 de septiembre de 2021): 559–69. http://dx.doi.org/10.3390/signals2030034.
Texto completoZhen, Hao, Yucheng Shi, Jidong J. Yang y Javad Mohammadpour Vehni. "Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification". Applied Computing and Intelligence 3, n.º 1 (2022): 13–26. http://dx.doi.org/10.3934/aci.2023002.
Texto completoHuang, Yubo y Zhong Xiang. "A Metal Character Enhancement Method based on Conditional Generative Adversarial Networks". Journal of Physics: Conference Series 2284, n.º 1 (1 de junio de 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2284/1/012003.
Texto completoKyslytsyna, Anastasiia, Kewen Xia, Artem Kislitsyn, Isselmou Abd El Kader y Youxi Wu. "Road Surface Crack Detection Method Based on Conditional Generative Adversarial Networks". Sensors 21, n.º 21 (8 de noviembre de 2021): 7405. http://dx.doi.org/10.3390/s21217405.
Texto completoLink, Patrick, Johannes Bodenstab, Lars Penter y Steffen Ihlenfeldt. "Metamodeling of a deep drawing process using conditional Generative Adversarial Networks". IOP Conference Series: Materials Science and Engineering 1238, n.º 1 (1 de mayo de 2022): 012064. http://dx.doi.org/10.1088/1757-899x/1238/1/012064.
Texto completoFalahatraftar, Farnoush, Samuel Pierre y Steven Chamberland. "A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular Networks". Telecom 2, n.º 1 (18 de marzo de 2021): 141–54. http://dx.doi.org/10.3390/telecom2010009.
Texto completoAida, Saori, Junpei Okugawa, Serena Fujisaka, Tomonari Kasai, Hiroyuki Kameda y Tomoyasu Sugiyama. "Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks". Biomolecules 10, n.º 6 (19 de junio de 2020): 931. http://dx.doi.org/10.3390/biom10060931.
Texto completoTesis sobre el tema "CONDITIONAL GENERATIVE ADVERARIAL NETWORKS (CGAN)"
Oskarsson, Joel. "Probabilistic Regression using Conditional Generative Adversarial Networks". Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166637.
Texto completoAlbertazzi, Riccardo. "A study on the application of generative adversarial networks to industrial OCR". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Buscar texto completoCapítulos de libros sobre el tema "CONDITIONAL GENERATIVE ADVERARIAL NETWORKS (CGAN)"
Kumar, Jatin, Indra Deep Mastan y Shanmuganathan Raman. "FMD-cGAN: Fast Motion Deblurring Using Conditional Generative Adversarial Networks". En Communications in Computer and Information Science, 362–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11349-9_32.
Texto completoActas de conferencias sobre el tema "CONDITIONAL GENERATIVE ADVERARIAL NETWORKS (CGAN)"
Pang, Yutian y Yongming Liu. "Conditional Generative Adversarial Networks (CGAN) for Aircraft Trajectory Prediction considering weather effects". En AIAA Scitech 2020 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2020. http://dx.doi.org/10.2514/6.2020-1853.
Texto completoYang, Lu. "Conditional Generative Adversarial Networks (CGAN) for Abnormal Vibration of Aero Engine Analysis". En 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2020. http://dx.doi.org/10.1109/iccasit50869.2020.9368622.
Texto completoQi, Y., L. Su, J. Gu y K. Li. "CE-CGAN: classification enhanced conditional generative adversarial networks for bearing fault diagnosis". En 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.3125.
Texto completoSalimzadeh, S., D. Kasperczyk y T. Kadeethum. "Predicting Ground Surface Deformation Induced by Pressurized Fractures Using Conditional Generative Adversarial Networks". En 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0218.
Texto completoNie, Zhenguo, Tong Lin, Haoliang Jiang y Levent Burak Kara. "TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain". En ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22675.
Texto completoToutouh, J., S. Nesmachnow y D. G. Rossit. "Generative adversarial networks to model air pollution under uncertainty". En 1st International Workshop on Advanced Information and Computation Technologies and Systems 2020. Crossref, 2021. http://dx.doi.org/10.47350/aicts.2020.20.
Texto completoChen, Hongrui y Xingchen Liu. "Geometry Enhanced Generative Adversarial Networks for Random Heterogeneous Material Representation". En ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71918.
Texto completoJiang, Haoliang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani y Levent Burak Kara. "StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction". En ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22682.
Texto completoZiviani, Hugo Eduardo, Guillermo Cámara Chávez y Mateus Coelho Silva. "Applying a Conditional GAN for Bone Suppression in Chest Radiography Images". En Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/semish.2022.222540.
Texto completoSun, Xiaopeng, Muxingzi Li, Tianyu He y Lubin Fan. "Enhance Image as You Like with Unpaired Learning". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/140.
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