Search Results - conditional 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

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

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

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

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

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

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

An Image Classification Method of Unbalanced Ship Coating Defects Based on DCCVAE-ACWGAN-GP.

Authors: Bu, Henan Yang, Teng Hu, Changzhou et al.

Source: Coatings (2079-6412); Mar2024, Vol. 14 Issue 3, p288, 23p

Subject Terms: IMAGE recognition (Computer vision), CONVOLUTIONAL neural networks, CONSTRUCTION defects (Buildings), GENERATIVE adversarial networks, VALUE engineering, DRYING, PAINT

Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images.

Authors: Wu, Yue Li, Jiaheng Yuan, Yongzhe et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Sep2022, Vol. 33 Issue 9, p4257-4270, 14p

Subject Terms: SYNTHETIC apertures, ARTIFICIAL neural networks, SYNTHETIC aperture radar, FEATURE extraction, IMAGE representation

Target localization and defect detection of distribution insulators based on ECA‐SqueezeNet and CVAE‐GAN.

Authors: Zhang, Chao Liu, Yu Liu, Honggang

Source: IET Image Processing (Wiley-Blackwell); 11/13/2024, Vol. 18 Issue 13, p3864-3877, 14p

Subject Terms: GENERATIVE adversarial networks, COMPUTER vision, ELECTRIC insulators & insulation, IMAGE registration, COMPUTER networking equipment

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

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

Subject Terms: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound, Statistics - Machine Learning, lang, edu

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

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

F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder

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

Source: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :6284-6288

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Machine Learning (stat.ML), 02 engineering and technology, Computer Science - Sound, Machine Learning (cs.LG), 03 medical and health sciences, Statistics - Machine Learning, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 0305 other medical science, Electrical Engineering and Systems Science - Audio and Speech Processing

Access URL: http://arxiv.org/pdf/2004.07370
http://arxiv.org/abs/2004.07370
https://www.arxiv-vanity.com/papers/2004.07370/
https://ui.adsabs.harvard.edu/abs/2020arXiv200407370Q/abstract
https://experts.illinois.edu/en/publications/f0-consistent-many-to-many-non-parallel-voice-conversion-via-cond
https://arxiv.org/pdf/2004.07370.pdf
https://arxiv.org/abs/2004.07370
https://ieeexplore.ieee.org/abstract/document/9054734

Knowledge Base Embedding for Sampling-Based Prediction.

Authors: RICHONG ZHANG JAEIN KIM JIAJIE MEI et al.

Source: ACM Transactions on Information Systems; Apr2023, Vol. 41 Issue 2, p1-25, 25p

Subject Terms: KNOWLEDGE base, PREDICTION models, FORECASTING, LATENT variables

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

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

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

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

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