Works matching DE "GENERATIVE adversarial networks"
Results: 5000
Multiple-ResNet GAN: An enhanced high-resolution image generation method for translation from fundus structure image to fluorescein angiography.
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- Medical & Biological Engineering & Computing, 2025, v. 63, n. 1, p. 181, doi. 10.1007/s11517-024-03191-z
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ReeGAN: MRI image edge-preserving synthesis based on GANs trained with misaligned data.
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- Medical & Biological Engineering & Computing, 2024, v. 62, n. 6, p. 1851, doi. 10.1007/s11517-024-03035-w
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Plane invariant segmentation of computed tomography images through weighted cross entropy optimized conditional GANs in compressed formats.
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- Medical & Biological Engineering & Computing, 2023, v. 61, n. 10, p. 2677, doi. 10.1007/s11517-023-02846-7
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Inpainting truncated areas of CT images based on generative adversarial networks with gated convolution for radiotherapy.
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- Medical & Biological Engineering & Computing, 2023, v. 61, n. 7, p. 1757, doi. 10.1007/s11517-023-02809-y
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Editor's Introduction.
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- International Journal of Information Technology & Decision Making, 2023, v. 22, n. 5, p. 1529, doi. 10.1142/S0219622023030050
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COVIDDCGAN: Oversampling Model Using DCGAN Network to Balance a COVID-19 Dataset.
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- International Journal of Information Technology & Decision Making, 2023, v. 22, n. 5, p. 1533, doi. 10.1142/S0219622022500791
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Controlling Phase‐Coherent Electron Transport in III‐Nitrides: Toward Room Temperature Negative Differential Resistance in AlGaN/GaN Double Barrier Structures.
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- Advanced Functional Materials, 2021, v. 31, n. 8, p. 1, doi. 10.1002/adfm.202007216
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Using GANs to predict milling stability from limited data.
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- Journal of Intelligent Manufacturing, 2025, v. 36, n. 2, p. 1201, doi. 10.1007/s10845-023-02291-1
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Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing.
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- Journal of Intelligent Manufacturing, 2025, v. 36, n. 2, p. 1033, doi. 10.1007/s10845-023-02284-0
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An imbalanced data learning approach for tool wear monitoring based on data augmentation.
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- Journal of Intelligent Manufacturing, 2025, v. 36, n. 1, p. 399, doi. 10.1007/s10845-023-02235-9
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Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 5, p. 2387, doi. 10.1007/s10845-023-02163-8
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Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 3, p. 1281, doi. 10.1007/s10845-023-02100-9
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A domain adaptation method for bearing fault diagnosis using multiple incomplete source data.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 2, p. 777, doi. 10.1007/s10845-023-02075-7
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A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 1, p. 217, doi. 10.1007/s10845-022-02041-9
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Deep generative model with time series-image encoding for manufacturing fault detection in die casting process.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 7, p. 3001, doi. 10.1007/s10845-022-01981-6
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GAN-Based Privacy-Preserving Intelligent Medical Consultation Decision-Making.
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- Group Decision & Negotiation, 2024, v. 33, n. 6, p. 1495, doi. 10.1007/s10726-024-09902-z
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Brain tumor classification for combining the advantages of multilayer dense net‐based feature extraction and hyper‐parameters tuned attentive dual residual generative adversarial network classifier using wild horse optimization.
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- NMR in Biomedicine, 2024, v. 37, n. 12, p. 1, doi. 10.1002/nbm.5246
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Deep‐learning‐based motion correction using multichannel MRI data: a study using simulated artifacts in the fastMRI dataset.
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- NMR in Biomedicine, 2024, v. 37, n. 10, p. 1, doi. 10.1002/nbm.5179
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SCGAN: stacking-based generative adversarial networks for multi-fidelity surrogate modeling.
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- Structural & Multidisciplinary Optimization, 2022, v. 65, n. 6, p. 1, doi. 10.1007/s00158-022-03255-4
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- Article
Principles of artificial intelligence in radiooncology.
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- Strahlentherapie und Onkologie, 2025, v. 201, n. 3, p. 210, doi. 10.1007/s00066-024-02272-0
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Generative adversarial text-to-image generation with style image constraint.
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- Multimedia Systems, 2023, v. 29, n. 6, p. 3291, doi. 10.1007/s00530-023-01160-4
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Deepfake detection of occluded images using a patch-based approach.
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- Multimedia Systems, 2023, v. 29, n. 5, p. 2669, doi. 10.1007/s00530-023-01140-8
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I2I translation model based on CondConv and spectral domain realness measurement: BCS-StarGAN.
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- Multimedia Systems, 2023, v. 29, n. 5, p. 2511, doi. 10.1007/s00530-023-01117-7
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Conversion of infrared ocean target images to visible images driven by energy information.
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- Multimedia Systems, 2023, v. 29, n. 5, p. 2887, doi. 10.1007/s00530-021-00879-2
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Unsupervised single image dehazing with generative adversarial network.
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- Multimedia Systems, 2023, v. 29, n. 5, p. 2923, doi. 10.1007/s00530-021-00852-z
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- Article
A fast recognition method for coal gangue image processing.
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- Multimedia Systems, 2023, v. 29, n. 4, p. 2323, doi. 10.1007/s00530-023-01109-7
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GH-DDM: the generalized hybrid denoising diffusion model for medical image generation.
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- Multimedia Systems, 2023, v. 29, n. 3, p. 1335, doi. 10.1007/s00530-023-01059-0
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ESGAN for generating high quality enhanced samples.
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- Multimedia Systems, 2022, v. 28, n. 5, p. 1809, doi. 10.1007/s00530-022-00953-3
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Optimized generative adversarial network based breast cancer diagnosis with wavelet and texture features.
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- Multimedia Systems, 2022, v. 28, n. 5, p. 1639, doi. 10.1007/s00530-022-00911-z
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DwiMark: a multiscale robust deep watermarking framework for diffusion-weighted imaging images.
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- Multimedia Systems, 2022, v. 28, n. 1, p. 295, doi. 10.1007/s00530-021-00835-0
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A framework of generative adversarial networks with novel loss for JPEG restoration and anti-forensics.
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- Multimedia Systems, 2021, v. 27, n. 6, p. 1075, doi. 10.1007/s00530-021-00778-6
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Adversarial learning for unguided single depth map completion of indoor scenes.
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- Machine Vision & Applications, 2025, v. 36, n. 2, p. 1, doi. 10.1007/s00138-024-01652-x
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- Article
Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.
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- Graefe's Archive of Clinical & Experimental Ophthalmology, 2023, v. 261, n. 5, p. 1399, doi. 10.1007/s00417-022-05919-9
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Exploring deep convolutional generative adversarial networks (DCGAN) in biometric systems: a survey study.
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- Discover Artificial Intelligence, 2024, v. 4, n. 1, p. 1, doi. 10.1007/s44163-024-00138-z
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LeafNST: an improved data augmentation method for classification of plant disease using object-based neural style transfer.
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- Discover Artificial Intelligence, 2024, v. 4, n. 1, p. 1, doi. 10.1007/s44163-024-00150-3
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Generative approaches for solving tangram puzzles.
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- Discover Artificial Intelligence, 2024, v. 4, n. 1, p. 1, doi. 10.1007/s44163-024-00107-6
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A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment.
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- Discover Artificial Intelligence, 2023, v. 3, n. 1, p. 1, doi. 10.1007/s44163-023-00089-x
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Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs.
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- Discover Artificial Intelligence, 2023, v. 3, n. 1, p. 1, doi. 10.1007/s44163-023-00078-0
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- Article
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN.
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- Discover Artificial Intelligence, 2023, v. 3, n. 1, p. 1, doi. 10.1007/s44163-023-00047-7
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When medical images meet generative adversarial network: recent development and research opportunities.
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- Discover Artificial Intelligence, 2021, v. 1, n. 1, p. 1, doi. 10.1007/s44163-021-00006-0
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基于生成对抗网络的遥感影像色彩一致性方法.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 3, p. 65, doi. 10.6046/zrzyyg.2021316
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Using agricultural big data analytics in plant breeding and genetics to increase food yield.
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- Agricultural Biotechnology Journal, 2024, v. 16, n. 4, p. 335, doi. 10.22103/jab.2025.24002.1610
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Ontology-Based Generalized Zero-Shot Learning with Generative Networks.
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- Gazi Journal of Engineering Sciences (GJES) / Gazi Mühendislik Bilimleri Dergisi, 2024, v. 10, n. 1, p. 183, doi. 10.30855/gmbd.0705N15
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Generating Synthetic Images from Real MR Images Using Deep Learning Methods.
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- Gazi Journal of Engineering Sciences (GJES) / Gazi Mühendislik Bilimleri Dergisi, 2023, v. 9, n. 4, p. 230, doi. 10.30855/gmbd.0705S22
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Two Hours Ahead Prediction of the TEC over China Using a Deep Learning Method.
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- Universe (2218-1997), 2022, v. 8, n. 8, p. 405, doi. 10.3390/universe8080405
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Machine Learning for Surrogate Groundwater Modelling of a Small Carbonate Island.
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- Hydrology (2306-5338), 2023, v. 10, n. 1, p. 2, doi. 10.3390/hydrology10010002
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The Study of Intelligent Image Classification Systems: An Exploration of Generative Adversarial Networks with Texture Information on Coastal Driftwood.
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- Environments (2076-3298), 2023, v. 10, n. 10, p. 167, doi. 10.3390/environments10100167
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基于生成对抗网络的文本生成图像研究综述.
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- Electronic Science & Technology, 2023, v. 36, n. 10, p. 39, doi. 10.16180/j.cnki.issn1007-7820.2023.10.006
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基于多尺度梯度的轻量级生成对抗网络.
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- Electronic Science & Technology, 2023, v. 36, n. 7, p. 32, doi. 10.16180/j.cnki.issn1007-7820.2023.07.005
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一种基于GAN 的轻量级水墨画风格迁移模型.
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- Electronic Science & Technology, 2023, v. 36, n. 2, p. 81, doi. 10.16180/j.cnki.issn1007-7820.2023.02.012
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