Splet25. jun. 2024 · Abstract : This paper proposes the TrafficFlowGAN, a physics-informed flow based generative adversarial network (GAN), for uncertainty quantification (UQ) of … Splet19. jun. 2024 · This paper proposes the TrafficFlowGAN, a physics-informed flow based generative adversarial network (GAN), for uncertainty quantification (UQ) of dynamical …

GitHub - ZhaobinMo/TrafficFlowGAN

Splet10. apr. 2024 · Understanding field scattering in AlGaN/GaN heterostructure field-effect transistors. Field-effect transistors featuring stacked layers of semiconductors are important elements of many electrical devices, especially in wireless communication systems. Through a series of studies, research led by Professor Zhaojun Lin at Shandong … Splet12. apr. 2024 · HIGHLIGHTS who: Luzhi Li et al. from the School of Information Engineering, Inner Mongolia University of Science and Technology, Department of Electrical and Electronic Engineering, University of Bristol, Bristol , … Wireless traffic prediction based on a gradient similarity federated aggregation algorithm Read Research » include algorithm.h

New Developments related to Generative Adversarial Network

SpletThis paper proposes the TrafficFlowGAN, a physics-informed flow based generative adversarial network (GAN), for uncertainty quantification (UQ) of dynamical systems. TrafficFlowGAN adopts a normalizing flow model as the generator to explicitly estimate the data likelihood. This flow model is trained to maximize the data likelihood and to … SpletTrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification. This paper proposes the TrafficFlowGAN, a physics-informed … Splet01. jan. 2024 · TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification. Retrieved from … inc in germany