Search Results - (conditional OR conditioning) variational autoencoder adaptive synthetic*

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

Authors: Tiejun Liu Yaoping Zhang Xiaojing Yin et al.

Source: Mathematics, Vol 13, Iss 14, p 2218 (2025)

Subject Terms: data imbalance, QA1-939, fault diagnosis, aviation fuel pumps, Mathematics, conditional variational autoencoder adaptive synthetic

Access URL: https://doaj.org/article/6506c51a390e4b8b9c3f16ce838110f0

MCVAE: A New Multi-Conditional Approach for Scalable Emergency Ad Hoc Network Design and Node Localization Using Generative Variational Autoencoder.

Authors: Jabbar, M. A. A. Abbas, A. R. Ghani, R. F.

Source: International Journal of Engineering Transactions C: Aspects; Jun2026, Vol. 39 Issue 6, p1390-1401, 12p

Subject Terms: AD hoc computer networks, EMERGENCY management, REAL-time computing, AUTOENCODERS, PROBABILISTIC generative models, WIRELESS communications, SCALABILITY

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

Authors: Liu, Tiejun Zhang, Yaoping Yin, Xiaojing et al.

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

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

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Authors: Wang, Chuanjun Lu, Yinyu Wang, Mingxin et al.

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

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

CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection.

Authors: Wang, Zhenyu Yu, Xuejun

Source: Entropy; Nov2025, Vol. 27 Issue 11, p1086, 22p

Subject Terms: INTRUSION detection systems (Computer security), DATA augmentation, CLASSIFICATION, MACHINE learning

Conditional Variational Autoencoder with Inverse Normalization Transformation on Synthetic Data Augmentation in Software Effort Estimation.

Authors: Marco, Robert Syed Ahmad, Sharifah Sakinah Ahmad, Sabrina

Source: International Journal of Intelligent Engineering & Systems; 2022, Vol. 15 Issue 3, p366-381, 16p

Subject Terms: DATA augmentation, MANN Whitney U Test, STANDARD deviations, K-nearest neighbor classification, SOFTWARE engineering

Geographic Terms: CHINA

Wavelet Transform-Based Bayesian Inference Learning with Conditional Variational Autoencoder for Mitigating Injection Attack in 6G Edge Network.

Authors: Pillai, Binu Sudhakaran Kulkarni, Raghavendra Kondeti, Venkata Satya Suresh kumar et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 145 Issue 1, p1141-1166, 26p

Subject Terms: 6G networks, ANOMALY detection (Computer security), BAYESIAN analysis, DEEP learning, WAVELET transforms, INTERNET security, CYBERTERRORISM

Sequential SAR-to-Optical Image Translation.

Authors: Wei, Jingbo Zhou, Huan Ke, Peng et al.

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

Subject Terms: SYNTHETIC aperture radar, TRANSFORMER models, FEATURE extraction

Text-Conditioned Diffusion-Based Synthetic Data Generation for Turbine Engine Sensor Analysis and RUL Estimation.

Authors: Mora-de-León, Luis Pablo Solís-Martín, David Galán-Páez, Juan et al.

Source: Machines; May2025, Vol. 13 Issue 5, p374, 25p

Subject Terms: REMAINING useful life, GENERATIVE adversarial networks, PRINCIPAL components analysis, AUTOENCODERS, STATISTICAL correlation

Conditional VAE for personalized neurofeedback in cognitive training.

Authors: Tibermacine, Imad Eddine Russo, Samuele Scarano, Gianmarco et al.

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

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

ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking.

Authors: Hsu, Chih-Yu Chang, Chih-Yin Chen, Yin-Chi et al.

Source: Sensors (14248220); Apr2025, Vol. 25 Issue 7, p2321, 26p

Subject Terms: DIGITAL technology, DIGITAL watermarking, COPYRIGHT, DATA security, DETECTOR circuits

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

Authors: Liang Z Cheng M Ma J et al.

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

Publication Type: Journal Article

Journal Info: 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

MeSH Terms: 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.

Authors: Abdi-Sargezeh, Bahman Shirani, Sepehr Valentin, Antonio et al.

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

Subject Terms: GENERATIVE adversarial networks, AUTOENCODERS, EPILEPTIFORM discharges, ELECTROENCEPHALOGRAPHY, DATA mapping

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

Authors: Li, Xiao Zhu, Liangji Lee, Jaemoon et al.

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

Subject Terms: DATA compression, DATA reduction, INTERPOLATION, LATENT variables, EMPIRICAL research

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

Authors: Gatoula, Panagiota Diamantis, Dimitrios E. Koulaouzidis, Anastasios et al.

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

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

Sparse Regularized Autoencoders-Based Radiomics Data Augmentation for Improved EGFR Mutation Prediction in NSCLC.

Authors: Munir, Muhammad Asif Shah, Reehan Ali Waheed, Urooj et al.

Source: Future Internet; Nov2025, Vol. 17 Issue 11, p495, 23p

Subject Terms: LUNG cancer, EPIDERMAL growth factor receptors, RADIOMICS, AUTOENCODERS, MACHINE learning, ONCOLOGY, DATA augmentation

A Physics-Informed Variational Autoencoder for Modeling Power Plant Thermal Systems.

Authors: Zhu, Baoyu Ren, Shaojun Weng, Qihang et al.

Source: Energies (19961073); Sep2025, Vol. 18 Issue 17, p4742, 24p

Subject Terms: THERMAL engineering, CONSTRAINTS (Physics), PREDICTION models, ENERGY conversion, AUTOENCODERS, MACHINE learning

Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures.

Authors: Bruni Prenestino, Francesco Barbierato, Enrico Gatti, Alice

Source: Future Internet; Feb2025, Vol. 17 Issue 2, p95, 31p

Subject Terms: MARKOV chain Monte Carlo, GENERATIVE adversarial networks, DATA privacy, TIME series analysis, MACHINE learning

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

Authors: Toledo-Marín, J. Quetzalcóatl Gonzalez, Sebastian Jia, Hao et al.

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

Subject Terms: 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.

Authors: Ma, Long Liu, Yingjie Zhang, Yue et al.

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

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