Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks by Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash

Subjects: “…conditional generative adversarial networks (cGANs)…”
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Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…Deep Convolutional Generative Adversarial Network (DCGAN) adalah salah satu model generatif yang menggunakan lapisan konvolusi. …”
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EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network by Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang

“…In this paper, we propose an Effective Pseudo-Random Number Generator (EPRNG) which exploits a deep convolution generative adversarial network (DCGAN)-based approach using our processed vehicle datasets and entropy-driven stopping method-based training processes for the generation of pseudo-random numbers. …”
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Exploring Generative Adversarial Networks: Comparative Analysis of Facial Image Synthesis and the Extension of Creative Capacities in Artificial Intelligence by Tomas Eglynas, Dovydas Lizdenis, Aistis Raudys, Sergej Jakovlev, Miroslav Voznak

“…A significant challenge in this field is replicating the uniquely human capacity for creativity—envisioning and realizing novel concepts and tangible creations. Generative Adversarial Networks (GANs), a leading approach in this effort, are especially notable for synthesizing realistic human facial images. …”
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GenVFNet: Generating Visual Field From Optical Coherence Tomography Angiography by Conditional Generative Adversarial Networks by Anita Manassakorn, Supatana Auethavekiat, Vera Sa-Ing, Sunee Chansangpetch, Kitiya Ratanawongphaibul, Nopphawan Uramphorn, Visanee Tantisevi

Subjects: “…conditional generative adversarial network…”
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Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks by R. Nandhini Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, K. Suresh Manic, Chuan-Yu Chang

“…The proposed approach uses a generative adversarial network to fuse Positron Emission Tomography and Magnetic Resonance Image into a single image. …”
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I-PAttnGAN: An Image-Assisted Point Cloud Generation Method Based on Attention Generative Adversarial Network by Wenwen Li, Yaxing Chen, Qianyue Fan, Meng Yang, Bin Guo, Zhiwen Yu

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EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks by Bahman Abdi-Sargezeh, Sepehr Shirani, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei

Subjects: “…generative adversarial networks…”
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A Cross-Modal Tactile Reproduction Utilizing Tactile and Visual Information Generated by Conditional Generative Adversarial Networks by Koki Hatori, Takashi Morikura, Akira Funahashi, Kenjiro Takemura

Subjects: “…conditional generative adversarial networks…”
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Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets. by William Dee, Rana Alaaeldin Ibrahim, Eirini Marouli

“…This study focuses on thyroid histopathology image classification and investigates whether a Generative Adversarial Network [GAN], trained with just 156 patient samples, can produce high quality synthetic images to sufficiently augment training data and improve overall model generalizability. …”
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Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

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Optimization of In-Motion EV Charging Infrastructure for Power Systems Using Generative Adversarial Network-Based Distributionally Robust Techniques by Dong Hua, Peifeng Yan, Suisheng Liu, Qinglin Lin, Peiyi Cui, Qian Li

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Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

Subjects: “…conditional Generative Adversarial Networks…”
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Analysis of preprocessing for Generative Adversarial Networks: A case study on color fundoscopy to fluorescein angiography image-to-image translation by Veena K.M., Veena Mayya, Rashmi Naveen Raj, Sulatha V. Bhandary, Uma Kulkarni

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Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods by Bei Zhou, Qianxi Zhou, Zongzhi Li

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Retracted: Multimodal Medical Image Fusion of Positron Emission Tomography and Magnetic Resonance Imaging Using Generative Adversarial Networks by Behavioural Neurology

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Advanced R-GAN: Generating anomaly data for improved detection in imbalanced datasets using regularized generative adversarial networks by Junhak Lee, Dayeon Jung, Jihoon Moon, Seungmin Rho

Subjects: “…Generative adversarial network (GAN)…”
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Predictive Online Transient Stability Assessment for Enhancing Efficiency by Rui Ma, Sara Eftekharnejad, Chen Zhong

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Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines by Enamundram Naga Karthik, Farida Cheriet, Catherine Laporte

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Generating multi-scale Li-ion battery cathode particles with radial grain architectures using stereological generative adversarial networks by Lukas Fuchs, Orkun Furat, Donal P. Finegan, Jeffery Allen, Francois L. E. Usseglio-Viretta, Bertan Ozdogru, Peter J. Weddle, Kandler Smith, Volker Schmidt

“…Here, we present a stereological generative adversarial network-based model fitting approach to tackle this, that generates representative 3D information from 2D data, enabling characterization of materials in 3D using cost-effective 2D data. …”
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