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1
DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising
DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising
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DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12 [Peer Reviewed Journal]

ISSN: 0018-9456 ;EISSN: 1557-9662 ;DOI: 10.1109/TIM.2021.3128703 ;CODEN: IEIMAO

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2
Some Theoretical Properties of GANs
Some Theoretical Properties of GANs
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Some Theoretical Properties of GANs

The Annals of statistics, 2020-06, Vol.48 (3), p.1539-1566 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0090-5364 ;EISSN: 2168-8966 ;DOI: 10.1214/19-AOS1858

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3
Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning
Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning
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Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning

IEEE access, 2024, Vol.12, p.19942-19951 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2024.3361030 ;CODEN: IAECCG

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4
ESTUGAN: Enhanced Swin Transformer with U-Net Discriminator for Remote Sensing Image Super-Resolution
ESTUGAN: Enhanced Swin Transformer with U-Net Discriminator for Remote Sensing Image Super-Resolution
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ESTUGAN: Enhanced Swin Transformer with U-Net Discriminator for Remote Sensing Image Super-Resolution

Electronics (Basel), 2023-10, Vol.12 (20), p.4235 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12204235

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5
Image Inpainting with Parallel Decoding Structure for Future Internet
Image Inpainting with Parallel Decoding Structure for Future Internet
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Image Inpainting with Parallel Decoding Structure for Future Internet

Electronics (Basel), 2023-04, Vol.12 (8), p.1872 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2079-9292 ;EISSN: 2079-9292 ;DOI: 10.3390/electronics12081872

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6
A GAN-Based Intrusion Detection Model for 5G Enabled Future Metaverse
A GAN-Based Intrusion Detection Model for 5G Enabled Future Metaverse
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A GAN-Based Intrusion Detection Model for 5G Enabled Future Metaverse

Mobile networks and applications, 2022-12, Vol.27 (6), p.2596-2610 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 1383-469X ;EISSN: 1572-8153 ;DOI: 10.1007/s11036-022-02075-6

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7
Texture analysis as a radiomic marker for differentiating renal tumors
Texture analysis as a radiomic marker for differentiating renal tumors
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Texture analysis as a radiomic marker for differentiating renal tumors

Abdominal radiology (New York), 2017-10, Vol.42 (10), p.2470-2478 [Peer Reviewed Journal]

Springer Science+Business Media New York 2017 ;ISSN: 2366-004X ;EISSN: 2366-0058 ;DOI: 10.1007/s00261-017-1144-1 ;PMID: 28421244

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8
The face image super-resolution algorithm based on combined representation learning
The face image super-resolution algorithm based on combined representation learning
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The face image super-resolution algorithm based on combined representation learning

Multimedia tools and applications, 2021-08, Vol.80 (20), p.30839-30861 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-09969-1

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9
Feature Learning-Based Generative Adversarial Network Data Augmentation for Class-Based Few-Shot Learning
Feature Learning-Based Generative Adversarial Network Data Augmentation for Class-Based Few-Shot Learning
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Feature Learning-Based Generative Adversarial Network Data Augmentation for Class-Based Few-Shot Learning

Mathematical problems in engineering, 2022-07, Vol.2022, p.1-20 [Peer Reviewed Journal]

Copyright © 2022 Bharat Subedi et al. ;Copyright © 2022 Bharat Subedi et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1024-123X ;EISSN: 1563-5147 ;DOI: 10.1155/2022/9710667

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10
Semisupervised Classification Based on Tensor Convolutional Neural Network for Hyperspectral Images
Semisupervised Classification Based on Tensor Convolutional Neural Network for Hyperspectral Images
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Semisupervised Classification Based on Tensor Convolutional Neural Network for Hyperspectral Images

Journal of physics. Conference series, 2021-04, Vol.1880 (1), p.12023 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1880/1/012023

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11
Disentangling Representations in Restricted Boltzmann Machines without Adversaries
Disentangling Representations in Restricted Boltzmann Machines without Adversaries
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Disentangling Representations in Restricted Boltzmann Machines without Adversaries

Physical review. X, 2023-04, Vol.13 (2), p.021003, Article 021003 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 2160-3308 ;EISSN: 2160-3308 ;DOI: 10.1103/PhysRevX.13.021003

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12
Association filtering and generative adversarial networks for predicting lncRNA-associated disease
Association filtering and generative adversarial networks for predicting lncRNA-associated disease
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Association filtering and generative adversarial networks for predicting lncRNA-associated disease

BMC bioinformatics, 2023-06, Vol.24 (1), p.234-234, Article 234 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2023 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-023-05368-z ;PMID: 37277721

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13
Identifying the sociodemographic and work-related factors related to workers’ daily physical activity using a decision tree approach
Identifying the sociodemographic and work-related factors related to workers’ daily physical activity using a decision tree approach
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Identifying the sociodemographic and work-related factors related to workers’ daily physical activity using a decision tree approach

BMC public health, 2023-09, Vol.23 (1), p.1-1853, Article 1853 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-023-16747-9

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14
Semi-supervised Classification Method for Remote Sensing scene Based on Deep Learning
Semi-supervised Classification Method for Remote Sensing scene Based on Deep Learning
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Semi-supervised Classification Method for Remote Sensing scene Based on Deep Learning

Journal of physics. Conference series, 2019-11, Vol.1345 (3), p.32015 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1345/3/032015

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15
Improving Face Recognition by Integrating Decision Forest into GAN
Improving Face Recognition by Integrating Decision Forest into GAN
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Improving Face Recognition by Integrating Decision Forest into GAN

Applied artificial intelligence, 2023-12, Vol.37 (1) [Peer Reviewed Journal]

2023 The Author(s). Published with license by Taylor & Francis Group, LLC. 2023 ;2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0883-9514 ;EISSN: 1087-6545 ;DOI: 10.1080/08839514.2023.2175108

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16
Enhanced Leaf Area Index Estimation With CROP-DualGAN Network
Enhanced Leaf Area Index Estimation With CROP-DualGAN Network
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Enhanced Leaf Area Index Estimation With CROP-DualGAN Network

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-10 [Peer Reviewed Journal]

ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2022.3230354 ;CODEN: IGRSD2

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17
Fault Diagnosis for Rolling Element Bearing in Dataset Bias Scenario
Fault Diagnosis for Rolling Element Bearing in Dataset Bias Scenario
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Fault Diagnosis for Rolling Element Bearing in Dataset Bias Scenario

Shanghai jiao tong da xue xue bao. Yi xue ban, 2023-10, Vol.28 (5), p.638

Copyright Shanghai Jiaotong University Press Oct 2023 ;ISSN: 1674-8115

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18
Auto-Encoding Generative Adversarial Networks towards Mode Collapse Reduction and Feature Representation Enhancement
Auto-Encoding Generative Adversarial Networks towards Mode Collapse Reduction and Feature Representation Enhancement
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Auto-Encoding Generative Adversarial Networks towards Mode Collapse Reduction and Feature Representation Enhancement

Entropy (Basel, Switzerland), 2023-12, Vol.25 (12), p.1657 [Peer Reviewed Journal]

2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e25121657 ;PMID: 38136537

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19
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising
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RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising

Computers in biology and medicine, 2023-12, Vol.167, p.107632, Article 107632 [Peer Reviewed Journal]

2023. Elsevier Ltd ;ISSN: 0010-4825 ;EISSN: 1879-0534 ;DOI: 10.1016/j.compbiomed.2023.107632

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20
Applications of game theory in deep learning: a survey
Applications of game theory in deep learning: a survey
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Applications of game theory in deep learning: a survey

Multimedia tools and applications, 2022-03, Vol.81 (6), p.8963-8994 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-12153-2 ;PMID: 35496996

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