Výsledky vyhledávání - (( conditional variational autoencoder(cae) ) OR ( conditioning variational autoencoder(cave) ))*

Dall-e Brain : Generation of 2D T1-w, T2-w, and FLAIR MRI images using a prompt

Autoři: El-Allaly, Souhail Breuil, Julie Bibard-Grau, Emma a další

Přispěvatelé: El-Allaly, Souhail Breuil, Julie Bibard-Grau, Emma a další

Zdroj: 3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025).
https://hal.science/hal-05013997
3e édition du Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025)., Mar 2025, Nice, France

Témata: Registration, Image Encoder/Decoder, Variational AutoEncoder, Latent Diffusion Model, Text prompt conditioning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

Geografické téma: Nice, France

Time: Nice, France

Dostupnost: https://hal.science/hal-05013997
https://hal.science/hal-05013997v1/document
https://hal.science/hal-05013997v1/file/Poster_Dalle_Brain_IABM_TG_SE_vfi_3.pdf

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

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

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

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

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

Autoři: Sugai, Tomotaka Shintani, Kohei Yamada, Takayuki

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

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

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

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

Autoři: Zhuang, Bozhou Gallet, Adrien Smyl, Danny

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

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

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

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

Autoři: Zhang, Chao Liu, Yu Liu, Honggang

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

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

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

Autoři: Bu, Henan Yang, Teng Hu, Changzhou a další

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

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

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

Knowledge Base Embedding for Sampling-Based Prediction.

Autoři: RICHONG ZHANG JAEIN KIM JIAJIE MEI a další

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

Témata: KNOWLEDGE base, PREDICTION models, FORECASTING, LATENT variables

Anomaly Detection for Charging Piles Based on Conditional Variational Autoencoder.

Autoři: Wang, Chuanjun Lu, Yinyu Wang, Mingxin a další

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

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

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

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

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

Autoři: Wu, Yue Li, Jiaheng Yuan, Yongzhe a další

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

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

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

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

Autoři: Merlin, R. Vincy Lloyd, F.

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

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

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

Autoři: Powadi, Anirudha Jubery, Talukder Zaki Tross, Michael C. a další

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

Témata: LIFE sciences, PRINCIPAL components analysis, AUTOENCODERS, PLANT breeding, AGRICULTURE

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