Suchergebnisse - conditioning variational (autoencoder（cvae）* OR autoencoder（cae）*)

Physical discovery in representation learning via conditioning on prior knowledge.

Autoren: Liu, Yongtao Huey, Bryan D. Ziatdinov, Maxim A. et al.

Quelle: Journal of Applied Physics. 8/14/2024, Vol. 136 Issue 6, p1-13. 13p.

Schlagwörter: *PIEZORESPONSE force microscopy, *SPECTRAL imaging, *LATENT variables, *EXTRAPOLATION, *PRIOR learning

Wind turbine structure health monitoring through zero-shot learning with supervised variational autoencoders

Autoren: Kiran Bacsa

Quelle: Materials Research Proceedings. 50:189-200

Survey on sampling conditioned brain images and imaging measures with generative models.

Autoren: Cheong, Sehyoung Lee, Hoseok Kim, Won Hwa

Quelle: Biomedical Engineering Letters; Sep2025, Vol. 15 Issue 5, p831-843, 13p

Synthetic data generation for the optimization of strains in metabolic engineering using latent space representations derived from a Conditional Variational Autoencoder

Autoren: Alwani, Neil (author)

Index Begriffe: Metabolic Flux Analysis, Variational Autoencoder (VAE), Probabilistic analysis, Principal Component Analysis (PCA), Combinatorial Optimization, bachelor thesis

URL: http://resolver.tudelft.nl/uuid:0f0fbe65-257d-491d-9fe5-5c1b3864dfd4

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

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

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

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

A Variational Autoencoder Approach to Conditional Generation of Possible Future Volatility Surfaces.

Autoren: Chen, Jacky Hull, John Poulos, Zissis et al.

Quelle: Journal of Financial Data Science; Summer2025, Vol. 7 Issue 3, p86-114, 29p

Schlagwörter: LONG short-term memory, PROBABILISTIC generative models, LATENT variables, RETROSPECTIVE studies, ECONOMIC forecasting

Heartbeat detection and personal authentication using a 60 GHz Doppler sensor.

Autoren: Asano, Takuma Izumi, Shintaro Kawaguchi, Hiroshi

Quelle: Frontiers in Digital Health; 2025, p1-12, 12p

Schlagwörter: PATIENT monitoring equipment, BIOLOGICAL models, RESEARCH funding, SOUND spectrography, BIOMETRY, HEART beat, ELECTROCARDIOGRAPHY, SECURITY systems, TECHNOLOGY, PATIENT monitoring, MICROWAVES, WAVE analysis, ALGORITHMS

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

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

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

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

The Use of Conditional Variational Autoencoders in Generating Stellar Spectra.

Autoren: Gebran, Marwan Bentley, Ian

Quelle: Astronomy (2674-0346); Sep2025, Vol. 4 Issue 3, p13, 14p

Schlagwörter: STELLAR spectra, RADIATIVE transfer, SIMULATION methods & models, SPECTRUM analysis, ASTROPHYSICS, PROBABILISTIC generative models, MACHINE learning, QUANTITATIVE research

Variational Autoencoder-Regulated Data Augmentation for Precise Estimation of Organic Pollutants in Water with Deeplearning Neural Network.

Autoren: Ashiquzzaman, Akm Kim, Jinsul Kim, Chihoon

Quelle: Applied Artificial Intelligence; Dec2025, Vol. 39 Issue 1, p1-12, 12p

Lightweight Text-to-Image Generation Model Based on Contrastive Language-Image Pre-Training Embeddings and Conditional Variational Autoencoders.

Autoren: Wang, Yubo Zhang, Gaofeng

Quelle: Electronics (2079-9292); Jun2025, Vol. 14 Issue 11, p2185, 31p

Schlagwörter: AUTOENCODERS, SUPPLY & demand, GENERALIZATION

Map Completion Using Generative Models on a Custom Dataset.

Autoren: Güzel, Selma Uslu, Erkan

Quelle: Signal, Image & Video Processing; Nov2025, Vol. 19 Issue 11, p1-8, 8p

Integrating cross-sample and cross-modal data for spatial transcriptomics and metabolomics with SpatialMETA.

Autoren: Tian, Ruonan Xue, Ziwei Chen, Yiru et al.

Quelle: Nature Communications; 10/6/2025, Vol. 16 Issue 1, p1-16, 16p

Schlagwörter: METABOLOMICS, DATA integration, CANCER treatment, DATA harmonization, LATENT variables, MULTIOMICS, RNA sequencing

Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction.

Autoren: Sang, Yuling Banerjee, Abhirup Beetz, Marcel et al.

Quelle: Frontiers in Digital Health; 2025, p1-13, 13p

Schlagwörter: HEART anatomy, RISK assessment, PREDICTION models, RESEARCH funding, RECEIVER operating characteristic curves, CARDIOVASCULAR diseases risk factors, MAGNETIC resonance imaging, RELATIVE medical risk, ELECTROCARDIOGRAPHY, KAPLAN-Meier estimator, DEEP learning, SURVIVAL analysis (Biometry), ELECTRODES, PROPORTIONAL hazards models

Geografische Kategorien: UNITED Kingdom

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

Autoren: Wang, Zhenyu Yu, Xuejun

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

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

Generating multiperspective process traces using conditional variational autoencoders

Autoren: Riccardo Graziosi Massimiliano Ronzani Andrei Buliga et al.

Quelle: Process Science. 2

Schlagwörter: Conditional models, Generative AI, Process mining, Deep learning

Dateibeschreibung: application/pdf

Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder

Autoren: Cho, Wonwoong Chen, Yan-Ying Klenk, Matthew et al.

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition

Zugangs-URL: http://arxiv.org/abs/2503.11937

Conditional VAE for personalized neurofeedback in cognitive training.

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

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

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

Framing the Sequence: Genre-Aligned Photo Curation via Shot-Scale Embedding.

Autoren: Park, Youngsup Lim, Yangmi Kang, Dongwann

Quelle: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3434, 25p

Schlagwörter: MOBILE apps, DIGITAL storytelling, IMAGE processing

Anomaly Detection in Borehole Strain Data with CNN and Frequency-Aware VAE.

Autoren: Wei, Xiaolong Liu, Qingjie Pan, Zhian

Quelle: Journal of Advanced Computational Intelligence & Intelligent Informatics; Nov2025, Vol. 29 Issue 6, p1390-1401, 12p

Schlagwörter: CONVOLUTIONAL neural networks, EARTHQUAKE prediction, GEOPHYSICAL observations, SEISMIC waves, OUTLIER detection