Výsledky vyhledávání - (conditional OR conditioning) variational autoencoder adaptive synthesis~

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Autoři: Wang, Chuanjun Lu, Yinyu Wang, Mingxin a další

Zdroj: International Transactions on Electrical Energy Systems; 9/23/2025, Vol. 2025, p1-12, 12p

Témata: ELECTRIC vehicles, SUPERVISED learning, PROBABILISTIC generative models, OUTLIER detection, SIGNAL detection, DISTRIBUTION (Probability theory), INFRASTRUCTURE (Economics)

Diffusion models for topology optimization in 3D printing applications.

Autoři: Bekbolat, Amanali Kurokawa, Syuhei Kamaru Zaman, Fadhlan Hafizhelmi a další

Zdroj: Journal of Applied Physics; 4/7/2025, Vol. 137 Issue 13, p1-16, 16p

Témata: GENERATIVE adversarial networks, ENGINEERING design, ENGINEERING models, AEROSPACE engineers, CIVIL engineering

Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement.

Autoři: Liu, Tiejun Zhang, Yaoping Yin, Xiaojing a další

Zdroj: Mathematics (2227-7390); Jul2025, Vol. 13 Issue 14, p2218, 18p

Témata: FUEL pumps, FAULT diagnosis, COMMERCIAL aeronautics, MACHINE learning, DATA augmentation

基于条件变分自编码器的端到端情感语音合成方法. (Chinese)

Alternate Title: End-to-End Emotional Speech Synthesis Method Based on Conditional Variational Autoencoder. (English)

Autoři: 张建明 彭锦涛 贾洪杰 a další

Zdroj: Journal of Signal Processing; Apr2023, Vol. 39 Issue 4, p678-687, 10p

Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning

Autoři: Yi Zhang Sheng Huang Xi Peng a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 35:9455-9469

Témata: Conditional variational auto-encoder (CVAE), feature generation, few-shot learning (FSL), modality absence, data augmentation

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37018571

Método de síntesis de funciones de prueba para optimizadores basado en autocodificadores variacionales y regresión simbólica ; Test function synthesis method for optimizers based on variational autoencoders and symbolic regression

Autoři: López Guevara, Juan Pablo Melgarejo Rey, Miguel Alberto López Guevara, Juan Pablo 0009-0000-4427-356X

Přispěvatelé: López Guevara, Juan Pablo Melgarejo Rey, Miguel Alberto López Guevara, Juan Pablo 0009-0000-4427-356X

Témata: IA, Regresor simbólico, VAE, IC, Sintesis, Optimizador, Ingeniería Electrónica -- Tesis y disertaciones académicas, Autocodificadores variacionales (VAE), Regresión simbólica, Optimización y funciones de prueba, Simbolic regressor, CI, Synthesis, Optimizer, AI

Popis souboru: pdf; application/pdf

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Dostupnost: https://hdl.handle.net/11349/42411

Conditional VAE for personalized neurofeedback in cognitive training.

Autoři: Tibermacine, Imad Eddine Russo, Samuele Scarano, Gianmarco a další

Zdroj: PLoS ONE; 10/31/2025, Vol. 20 Issue 10, p1-28, 28p

Témata: MACHINE learning, FEATURE extraction, NEUROPHYSIOLOGY, ARTIFICIAL intelligence, COGNITIVE training, ROUTINE diagnostic tests

Multimodal medical image-to-image translation via variational autoencoder latent space mapping.

Autoři: Liang Z Cheng M Ma J a další

Zdroj: Medical physics [Med Phys] 2025 Jul; Vol. 52 (7), pp. e17912. Date of Electronic Publication: 2025 May 29.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

Výrazy ze slovníku MeSH: Image Processing, Computer-Assisted*/methods , Multimodal Imaging*/methods, Humans ; Magnetic Resonance Imaging ; Head and Neck Neoplasms/diagnostic imaging ; Cone-Beam Computed Tomography ; Autoencoder

EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks.

Autoři: Abdi-Sargezeh, Bahman Shirani, Sepehr Valentin, Antonio a další

Zdroj: Sensors (14248220); Jan2025, Vol. 25 Issue 2, p494, 19p

Témata: GENERATIVE adversarial networks, AUTOENCODERS, EPILEPTIFORM discharges, ELECTROENCEPHALOGRAPHY, DATA mapping

CAESAR: A Unified Framework for Foundation and Generative Models for Efficient Compression of Scientific Data.

Autoři: Li, Xiao Zhu, Liangji Lee, Jaemoon a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p8977, 24p

Témata: DATA compression, DATA reduction, INTERPOLATION, LATENT variables, EMPIRICAL research

Clinical evaluation of medical image synthesis: a case study in wireless capsule endoscopy.

Autoři: Gatoula, Panagiota Diamantis, Dimitrios E. Koulaouzidis, Anastasios a další

Zdroj: Scientific Reports; 10/8/2025, Vol. 15 Issue 1, p1-19, 19p

Témata: CAPSULE endoscopy, INFLAMMATORY bowel diseases, COMPUTER-assisted image analysis (Medicine), DIAGNOSTIC examinations, AUTOENCODERS, CLINICAL decision support systems, ARTIFICIAL intelligence

Conditioned quantum-assisted deep generative surrogate for particle-binary vector indicating thecalorimeter interactions.

Autoři: Toledo-Marín, J. Quetzalcóatl Gonzalez, Sebastian Jia, Hao a další

Zdroj: NPJ Quantum Information; 7/7/2025, Vol. 11 Issue 1, p1-15, 15p

Témata: PARTICLES (Nuclear physics), PHYSICAL sciences, LARGE Hadron Collider, QUANTUM annealing, COLLISIONS (Nuclear physics), CALORIMETERS

Symmetry-Aware CVAE-ACGAN-Based Feature Generation Model and Its Application in Fault Diagnosis.

Autoři: Ma, Long Liu, Yingjie Zhang, Yue a další

Zdroj: Symmetry (20738994); Jun2025, Vol. 17 Issue 6, p947, 20p

Témata: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, STANDARD deviations, AUTOENCODERS, DEEP learning

Reconstructing and analyzing the invariances of low‐dose CT image denoising networks.

Autoři: Eulig, Elias Jäger, Fabian Maier, Joscha a další

Zdroj: Medical Physics; Jan2025, Vol. 52 Issue 1, p188-200, 13p

Témata: COMPUTED tomography, DIAGNOSTIC imaging, AUTOENCODERS, DEEP learning, NOISE, IMAGE denoising

Improved Generation of Drawing Sequences Using Variational and Skip-Connected Deep Networks for a Drawing Support System.

Autoři: Nakamura, Atomu Matsumoto, Homari Chiba, Koharu a další

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p413, 19p

Témata: DATA augmentation, DEEP learning, LATENT variables, NEURAL computers, GENERATIVE artificial intelligence, DRAWING techniques

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization.

Autoři: Chen, Chengliang Gong, Zhiqun

Zdroj: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-19, 19p

Témata: AESTHETIC judgment, FEATURE extraction, CUSTOM design, KNOWLEDGE transfer, MACHINE learning

TVAE-3D: Efficient multi-view 3D shape reconstruction with diffusion models and transformer based VAE.

Autoři: Sajid, Muhammad Malik, Kaleem Razzaq Khan, Ali Haider a další

Zdroj: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-22, 22p

Témata: COMPUTER vision, THREE-dimensional imaging, PROBABILISTIC generative models, TRANSFORMER models, POINT cloud, LATENT variables

Enhanced Thompson sampling by roulette wheel selection for screening ultralarge combinatorial libraries.

Autoři: Zhao, Hongtao Nittinger, Eva Yu, Melissa A. a další

Zdroj: Journal of Cheminformatics. 10/13/2025, Vol. 17 Issue 1, p1-10. 10p.

Témata: *COMPUTER-assisted molecular design, *MACHINE learning, *ADAPTIVE sampling (Statistics), *STATISTICAL models, *BIOACTIVE compounds, *CHEMICAL synthesis

Sequential SAR-to-Optical Image Translation.

Autoři: Wei, Jingbo Zhou, Huan Ke, Peng a další

Zdroj: Remote Sensing; Jul2025, Vol. 17 Issue 13, p2287, 19p

Témata: SYNTHETIC aperture radar, TRANSFORMER models, FEATURE extraction

Variational autoencoder enhanced analysis of energy metabolism and autophagy in exercising cardiomyocytes.

Autoři: Chen, Liquan Yang, Yun

Zdroj: Experimental Biology & Medicine; 2025, p1-18, 18p