Results 21 to 30 of about 122,529 (265)
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 The image forgery process can be simply defined as inserting some objects of different sizes to vanish some structures or scenes. Satellite images can be forged in many ways, such as copy-paste, copy-move, and splicing processes.
Mohamed Mahmoud Fouad +2 more
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Application of Transformer in anomaly indicators forecasting of hydropower units
Zhejiang dianli, 2023 The workloads of routine repair， maintenance， and abnormality detection of hydropower units are heavy. Therefore， traditional manual monitoring may leave out or misjudge abnormalities.
LIN Yemin +6 more
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Perturbative GAN: GAN with Perturbation Layers
CoRR, 2019 Perturbative GAN, which replaces convolution layers of existing convolutional GANs (DCGAN, WGAN-GP, BIGGAN, etc.) with perturbation layers that adds a fixed noise mask, is proposed. Compared with the convolu-tional GANs, the number of parameters to be trained is smaller, the convergence of training is faster, the incep-tion score of generated images is
Yuma Kishi +5 more
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Optics Express, 2013 This work reports both experimental and theoretical studies on the InGaN/GaN light-emitting diodes (LEDs) with optical output power and external quantum efficiency (EQE) levels substantially enhanced by incorporating p-GaN/n-GaN/p-GaN/n-GaN/p-GaN (PNPNP-GaN) current spreading layers in p-GaN.
Zhang, Z.-H. +9 more
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H-GAN: the power of GANs in your Hands [PDF]
2021 International Joint Conference on Neural Networks (IJCNN), 2021 Paper accepted at The International Joint Conference on Neural Networks (IJCNN ...
Sergiu Oprea +9 more
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DC-DC Converter Design Issues for High-Efficient DC Microgrid
Communications, 2019 In this article, the electrical properties, as well as the economic aspects of the modular and non-modular solution of the DC-DC photovoltaic converter for DC microgrid subsystem, are described.
Michal Frivaldsky, Jan Morgos
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CoRR, 2018 In this paper, we introduce the Fairness GAN, an approach for generating a dataset that is plausibly similar to a given multimedia dataset, but is more fair with respect to protected attributes in allocative decision making. We propose a novel auxiliary classifier GAN that strives for demographic parity or equality of opportunity and show empirical ...
Prasanna Sattigeri +3 more
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Remote Sensing, 2020 The existence of clouds is one of the main factors that contributes to missing information in optical remote sensing images, restricting their further applications for Earth observation, so how to reconstruct the missing information caused by clouds is ...
Jianhao Gao +4 more
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Active Damping in Series Connected Power Modules with Continuous Output Voltage
Power Electronics and Drives, 2021 This paper presents a modular and scalable power electronics concept for motor control with continuous output voltage. In contrast to multilevel concepts, modules with continuous output voltage are connected in series.
Ulmer Sabrina +2 more
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The GAN is dead; long live the GAN! A Modern GAN Baseline
Advances in Neural Information Processing Systems 37There is a widely-spread claim that GANs are difficult to train, and GAN architectures in the literature are littered with empirical tricks. We provide evidence against this claim and build a modern GAN baseline in a more principled manner. First, we derive a well-behaved regularized relativistic GAN loss that addresses issues of mode dropping and non ...
Nick Huang +3 more
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