Search Results - (conditional OR conditioning) variational autoencoder(cae)*

Data-driven topology optimization using a multitask conditional variational autoencoder with persistent homology.

Authors: Sugai, Tomotaka Shintani, Kohei Yamada, Takayuki

Source: Structural & Multidisciplinary Optimization; Jul2024, Vol. 67 Issue 7, p1-12, 12p

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

Authors: Asano, Takuma Izumi, Shintaro Kawaguchi, Hiroshi

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

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

Asset Pricing via the Conditional Quantile Variational Autoencoder.

Authors: Yang, Xuanling Zhu, Zhoufan Li, Dong et al.

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

Subject Terms: 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.

Authors: Komorska, Iwona Puchalski, Andrzej

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

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

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

Authors: Wang, Xu Qian, Weiqi Zhao, Tun et al.

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

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

Inverse structural design with generative and probabilistic autoencoders and diffusion models.

Authors: Zhuang, Bozhou Gallet, Adrien Smyl, Danny

Source: Engineering Applications of Artificial Intelligence. Dec2025:Part A, Vol. 161, pN.PAG-N.PAG. 1p.

Subject Terms: *MACHINE learning, *AUTOENCODERS, *STRUCTURAL engineering, *MULTIDISCIPLINARY design optimization, *GIRDERS, *STOCHASTIC models, *ENGINEERING design, *PROBABILISTIC generative models

Robust Zero-Day Attack Detection with Optimal Deep Learning for Securing Internet of Things Environment.

Authors: Abid, Nahla J. Alhebaishi, Nawaf Althaqafi, Turki

Source: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 16 Issue 1, p118-131, 14p

Subject Terms: OPTIMIZATION algorithms, SOFTWARE maintenance, COMPUTER network security, DEEP learning, AUTOENCODERS

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

Authors: Ogundokun, Roseline Oluwaseun Owolawi, Pius Adewale Tu, Chunling et al.

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

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

Self‐supervised representation learning of metro interior noise based on variational autoencoder and deep embedding clustering.

Authors: Wang, Yang Xiao, Hong Zhang, Zhihai et al.

Source: Computer-Aided Civil & Infrastructure Engineering; 2/4/2025, Vol. 40 Issue 4, p503-522, 20p

Subject Terms: TRANSPORTATION noise, SIGNAL denoising, PATTERN perception, FAULT diagnosis, LATENT variables, MACHINE learning, EMPIRICAL research

Disentangling genotype and environment specific latent features for improved trait prediction using a compositional autoencoder.

Authors: Powadi, Anirudha Jubery, Talukder Zaki Tross, Michael C. et al.

Source: Frontiers in Plant Science; 2024, p1-13, 13p

Subject Terms: LIFE sciences, PRINCIPAL components analysis, AUTOENCODERS, PLANT breeding, AGRICULTURE

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

Authors: Lee, SiHun Lee, Sangmin Jang, Kijoo et al.

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

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

Authors: Qian, Kaizhi Jin, Zeyu Hasegawa-Johnson, Mark et al.

Index Terms: 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

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

Authors: Jenifer, L. Leena Devaki, K.

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

Subject Terms: OPTIMIZATION algorithms, INDUSTRIALISM, FRAUD, IMAGE processing, ALGORITHMS

Adaptive Neural Network System for Detecting Unauthorised Intrusions Based on Real-Time Traffic Analysis.

Authors: Vladov, Serhii Vysotska, Victoria Lytvyn, Vasyl et al.

Source: Computation; Sep2025, Vol. 13 Issue 9, p221, 42p

Subject Terms: INTRUSION detection systems (Computer security), ANOMALY detection (Computer security), KALMAN filtering, LATENT variables, INTERNET security, TRAFFIC monitoring, MACHINE learning, INTELLIGENT networks

Graph Representation Learning on Street Networks.

Authors: Neira, Mateo Murcio, Roberto

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

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

HDMcCNet: A Hybrid Deep Multi-label Classification Network for Diagnosing Multiple Ocular Disease via Fundus Images.

Authors: Merlin, R. Vincy Lloyd, F.

Source: Sensing & Imaging; 12/8/2025, Vol. 26 Issue 1, p1-49, 49p

Zero-Shot Rolling Bearing Fault Diagnosis Based on Attribute Description.

Authors: Fan, Guorong Li, Lijun Zhao, Yue et al.

Source: Electronics (2079-9292); Feb2025, Vol. 14 Issue 3, p452, 27p

Subject Terms: TRANSFORMER models, FEATURE extraction, DEEP learning, AUTOENCODERS, ROLLER bearings

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

Authors: Wang, Yuan Wang, Zhi-Gang He, Yi-Hao et al.

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

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

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

Authors: Liu, Chunyuan Yu, Xiaomin Wu, Peilong et al.

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

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

Unsupervised machinery prognostics approach based on wavelet packet decomposition and variational autoencoder.

Authors: Franco de Godói, Leonardo de Oliveira Nóbrega, Eurípedes Guilherme

Source: Journal of the Brazilian Society of Mechanical Sciences & Engineering; Feb2024, Vol. 46 Issue 2, p1-15, 15p