Results 21 to 30 of about 60,338 (274)
IEEE Access, 2020 With the appearance of Generative Adversarial Network (GAN), image-to-image translation based on a new unified framework has attracted growing interests.
Guifang Shao +4 more
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Time-Frequency Analysis and Target Recognition of HRRP Based on CN-LSGAN, STFT, and CNN
Complexity, 2021 Aiming at the problem of radar target recognition of High-Resolution Range Profile (HRRP) under low signal-to-noise ratio conditions, a recognition method based on the Constrained Naive Least-Squares Generative Adversarial Network (CN-LSGAN), Short-time ...
Jianghua Nie +3 more
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PHom-GeM: Persistent Homology for Generative Models [PDF]
, 2019 Generative neural network models, including Generative Adversarial Network (GAN) and Auto-Encoders (AE), are among the most popular neural network models to generate adversarial data.
Charlier, Jeremy +2 more
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Implementasi Deep Convolutional Generative Adversarial Network untuk Pewarnaan Citra Grayscale
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2022 Proses menambahkan warna pada citra grayscale diperlukan agar perbaikan pada citra dapat dilakukan secara cepat dan tanpa pengetahuan khusus. Pewarnaan citra menggunakan metode Deep Convolutional Generative Adversarial Network (DCGAN) dan metode ...
Muhammad Ricky, Muhammad Ezar Al Rivan
doaj +1 more source
SFCWGAN-BiTCN with Sequential Features for Malware Detection
Applied Sciences, 2023 In the field of adversarial attacks, the generative adversarial network (GAN) has shown better performance. There have been few studies applying it to malware sample supplementation, due to the complexity of handling discrete data.
Bona Xuan, Jin Li, Yafei Song
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Image Inpainting Algorithm Based on Conditional Generative Adversarial Network with Spectral Normalization [PDF]
Jisuanji gongcheng, 2021 To solve the problem of large image distortion and uncontrollable discriminative network performance in image inpainting based on Generative Adversarial Network(GAN),this paper proposes a new image inpainting algorithm based on conditional generative ...
LEI Lei, GUO Dongen, JIN Feng
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Generative Adversarial Network (GAN) to Generate Realistic Images
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Generative Adversarial Networks (GANs) have rapidly become a focal point of research due to their ability to generate realistic images. First introduced in 2014, GANs have been applied in a multitude of fields such as computer vision and natural language processing, yielding impressive results.
Sahil Lamba +3 more
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Medicine Expenditure Prediction via a Variance- Based Generative Adversarial Network
IEEE Access, 2020 Machine learning (ML) offers a wide range of techniques to predict medicine expenditures using historical expenditures data as well as other healthcare variables. For example, researchers have developed multilayer perceptron (MLP), long short-term memory
Shruti Kaushik +4 more
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ANALYSIS OF THE ATTACKER AND DEFENDER GAN MODELS FOR THE INDOOR NAVIGATION NETWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Evacuation research relies heavily on the efficiency analysis of the study navigation networks, and this principle also applies to indoor scenarios. One crucial type of these scenarios is the attacker and defender topic, which discusses the paralyzing ...
L. Niu, Y. Song, J. Chu, S. Li
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Pun-GAN: Generative Adversarial Network for Pun Generation [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 En este trabajo, nos centramos en la tarea de generar una oración de juego de palabras dado un par de sentidos de la palabra. Un desafío importante para la generación de juegos de palabras es la falta de un corpus de juegos de palabras a gran escala para guiar el aprendizaje supervisado. Para remediar esto, proponemos una red generativa adversaria para
Fuli Luo +6 more
openaire +2 more sources