Výsledky vyhledávání - conditional variational autoencoder（cae）

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

Autoři: Asano, Takuma Izumi, Shintaro Kawaguchi, Hiroshi

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

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

F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

Autoři: Qian, Kaizhi Jin, Zeyu Hasegawa-Johnson, Mark a další

Témata: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2004.07370

Fast Prediction of Airfoil Aerodynamic Characteristics Based on a Combined Autoencoder.

Autoři: Wang, Xu Qian, Weiqi Zhao, Tun a další

Zdroj: Symmetry (20738994); Jul2024, Vol. 16 Issue 7, p791, 17p

Témata: WIND tunnel testing, LATENT variables, REYNOLDS number, AEROFOILS, NETWORK performance

Wood-species identification based on terahertz spectral data augmentation and pseudo-label guided deep clustering.

Autoři: Wang, Yuan Wang, Zhi-Gang He, Yi-Hao a další

Zdroj: Wood Material Science & Engineering; Oct2024, Vol. 19 Issue 5, p1004-1014, 11p

Témata: WOOD, DATA augmentation, MACHINE learning, PROBLEM solving, TERAHERTZ spectroscopy, GRISELINIA littoralis

Asset Pricing via the Conditional Quantile Variational Autoencoder.

Autoři: Yang, Xuanling Zhu, Zhoufan Li, Dong a další

Zdroj: Journal of Business & Economic Statistics; Apr2024, Vol. 42 Issue 2, p681-694, 14p

Témata: PRICES, DISTRIBUTION (Probability theory), SHARPE ratio, FACTOR structure, CAPITAL assets pricing model, QUANTILES

Condition Monitoring Using a Latent Space of Variational Autoencoder Trained Only on a Healthy Machine.

Autoři: Komorska, Iwona Puchalski, Andrzej

Zdroj: Sensors (14248220); Nov2024, Vol. 24 Issue 21, p6825, 14p

Témata: ARTIFICIAL neural networks, MACHINE learning, DISTRIBUTION (Probability theory), RANDOM variables, FAULT diagnosis, FEATURE extraction

Adaptive Variational Mode Decomposition and Principal Component Analysis-Based Denoising Scheme for Borehole Radar Data.

Autoři: Yang, Ding Guo, Cheng Persico, Raffaele a další

Zdroj: Remote Sensing; Feb2025, Vol. 17 Issue 3, p525, 25p

Témata: METAHEURISTIC algorithms, GROUND penetrating radar, HILBERT-Huang transform, PRINCIPAL components analysis, SIGNAL-to-noise ratio

Conditional neural field latent diffusion model for generating spatiotemporal turbulence.

Autoři: Du, Pan Parikh, Meet Hemant Fan, Xiantao a další

Zdroj: Nature Communications; 11/29/2024, Vol. 15 Issue 1, p1-22, 22p

Témata: UNSTEADY flow, FLUID dynamics, LARGE eddy simulation models, TURBULENCE, TURBULENT flow

Graph Representation Learning on Street Networks.

Autoři: Neira, Mateo Murcio, Roberto

Zdroj: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p284, 18p

Témata: REPRESENTATIONS of graphs, URBAN morphology, PATTERN perception, SPATIAL behavior, LATENT variables, ROAD construction, TRAFFIC patterns, CONVOLUTIONAL neural networks

An Intelligent Model of Anomaly Detection and Anomaly Localization in Images Using Hybrid Heuristic Adaptive Multiscale Attention-Based DenseNet and Cascaded Variational Autoencoder.

Autoři: Jenifer, L. Leena Devaki, K.

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence; Sep2024, Vol. 38 Issue 11, p1-42, 42p

Témata: OPTIMIZATION algorithms, INDUSTRIALISM, FRAUD, IMAGE processing, ALGORITHMS

Data-driven nonlinear parametric model order reduction framework using deep hierarchical variational autoencoder.

Autoři: Lee, SiHun Lee, Sangmin Jang, Kijoo a další

Zdroj: Engineering with Computers; Aug2024, Vol. 40 Issue 4, p2385-2400, 16p

A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising.

Autoři: Liu, Chunyuan Yu, Xiaomin Wu, Peilong a další

Zdroj: Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-16, 16p

Témata: INDOOR positioning systems, DEEP learning, GENERATIVE adversarial networks, WIRELESS geolocation systems, SIGNAL denoising, SPACE perception

Autoencoder-Assisted Stacked Ensemble Learning for Lymphoma Subtype Classification: A Hybrid Deep Learning and Machine Learning Approach.

Autoři: Ogundokun, Roseline Oluwaseun Owolawi, Pius Adewale Tu, Chunling a další

Zdroj: Tomography: A Journal for Imaging Research; Aug2025, Vol. 11 Issue 8, p91, 22p

Témata: AUTOENCODERS, ENSEMBLE learning, DEEP learning, FEATURE extraction, CANCER diagnosis, HISTOPATHOLOGY, MACHINE learning

iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification.

Autoři: Dhillon, Arwinder Singh, Ashima Bhalla, Vinod Kumar

Zdroj: Applied Intelligence; Nov2023, Vol. 53 Issue 22, p26672-26689, 18p

Témata: TUMOR classification, PROTEIN microarrays, BIOMARKERS, MULTIOMICS, MULTIMODAL user interfaces, MULTISENSOR data fusion, DEEP learning

A Data-Driven Based Response Reconstruction Method of Plate Structure with Conditional Generative Adversarial Network.

Autoři: Zhang, He Xu, Chengkan Jiang, Jiqing a další

Zdroj: Sensors (14248220); Aug2023, Vol. 23 Issue 15, p6750, 19p

Témata: GENERATIVE adversarial networks, ENGINEERING models, BRIDGE testing, STEEL framing

A novel unsupervised graph wavelet autoencoder for mechanical system fault detection.

Autoři: Li, Tianfu Sun, Chuang Yan, Ruqiang a další

Zdroj: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5397-5414, 18p

Témata: FAULT diagnosis, FEATURE extraction, GRAPH neural networks, MULTIVARIATE analysis, ENGINEERING systems, INDUSTRIAL applications, MATHEMATICAL regularization

A physics-guided deep generative model for predicting melt pool behavior in laser powder bed fusion additive manufacturing.

Autoři: Kim, Jaehyuk Yang, Zhuo Lu, Yan

Zdroj: Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5715-5735, 21p

Témata: CONVOLUTIONAL neural networks, PREDICTION models, SELECTIVE laser melting, ZONE melting, GENERATIVE artificial intelligence, THREE-dimensional printing, PRODUCT quality, PROCESS control systems

Continual learning approaches for anomaly detection.

Autoři: Pezze, Davide Dalle Anello, Eugenia Masiero, Chiara a další

Zdroj: Evolving Systems; Dec2025, Vol. 16 Issue 4, p1-20, 20p

Machine learning-based criminal behavior analysis for enhanced digital forensics.

Autoři: Dananjana, W. Pawani Arambawela, Jithmi Sewwandi Gonawala, D. G. Samesha Navodi a další

Zdroj: PLoS ONE; 10/6/2025, Vol. 20 Issue 10, p1-30, 30p

Témata: CRIMINAL behavior, DIGITAL forensics, RECURRENT neural networks, AUTOENCODERS, MACHINE learning, INTERNET usage monitoring, ANOMALY detection (Computer security), DIGITAL footprint

A Comprehensive Survey of Deep Learning for Authentication in Vehicular Communication.

Autoři: Nandy, Tarak Bhattacharyya, Sananda

Zdroj: Computers, Materials & Continua; 2025, Vol. 85 Issue 1, p181-219, 39p

Témata: DEEP learning, INTELLIGENT transportation systems, ELECTRONIC authentication, SCALABILITY, INFORMATION technology security, MOBILE communication systems, INTERNET security