Výsledky vyhledávání - (("conditional variational autoencoder") OR ("conditioning variational autoencoder"))

Vessel Trajectory Prediction Based on GAN with Kolmogorov-Arnold Network and Conditional Variational Autoencoder

Autoři: Yasi Tian Hui Zhang Weimin Huang

Zdroj: 2025 IEEE 20th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM). :101-104

Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder

Autoři: Ou Tan, PhD Keke Liu, MD Aiyin Chen, MD a další

Zdroj: Ophthalmology Science, Vol 5, Iss 6, Pp 100849- (2025)

Témata: Conditional variational autoencoder, Glaucoma, Nerve fiber layer thickness, OCT, Ophthalmology, RE1-994

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666914525001472; https://doaj.org/toc/2666-9145

Přístupová URL adresa: https://doaj.org/article/2533b76a4100467c80b14765360ef5b5

Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder

Autoři: Jiang, Junhao Zuo, Yi Li, Zhiyuan

Zdroj: Reliability Engineering and System Safety. 267

Témata: Graph convolutional network, Trajectory prediction, Cooperative intention constructor, Intelligent situational awareness systems, Conditional variational autoencoder, Multi-modal interaction extractor

Přístupová URL adresa: https://research.chalmers.se/publication/549377

Optimal Dimensionality Reduction using Conditional Variational AutoEncoder

Autoři: Boussam, Sana Carbone, Mathieu Gérard, Benoît a další

Přispěvatelé: Boussam, Sana Carbone, Mathieu Gérard, Benoît a další

Zdroj: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2025, Iss 3 (2025)

Témata: TK7885-7895, Computer engineering. Computer hardware, Deep Learning, Side-Channel Attacks, Variational AutoEncoder, Generative Models, Information technology, [INFO] Computer Science [cs], Optimal Dimensionality Reduction, T58.5-58.64, Optimal Attacks

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/95892bfa2003433ea20557dbfd1de1dd
https://hal.science/hal-05148980v1
https://hal.science/hal-05148980v1/document
https://doi.org/10.46586/tches.v2025.i3.164-211

Enhanced Seismic Ground Motion Modeling With Conditional Variational Autoencoder

Autoři: Pavan Mohan Neelamraju Akshay Pratap Singh STG Raghukanth

Zdroj: Earthquake Engineering and Resilience. 4:178-201

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting

Autoři: Hui He Qi Zhang Kun Yi a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:7287-7301

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, I.2.6, 0202 electrical engineering, electronic engineering, information engineering, 68Txx, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38683706
http://arxiv.org/abs/2209.00654

Estimation of the coverage area with ResNet-based Conditional Variational Autoencoder

Autoři: Uğur Erbaș Adem Avcı Mehmet Barış Tabakcıoğlu

Zdroj: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4

CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder

Autoři: Cui, Jianwei Gu, Yu Chen, Shihao a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 39:23704-23714

Témata: Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Audio and Speech Processing

Přístupová URL adresa: http://arxiv.org/abs/2412.08918

Generative Design of Thermoset Shape Memory Polymers Driven by Chemical Group: A Conditional Variational Autoencoder Approach

Autoři: Borun Das Andrew Peters Guoqiang Li a další

Zdroj: Journal of Polymer Science. 63:1334-1344

Speech Audio Generation from Dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Autoři: Yaxuan Li Han Jiang Yifei Ma a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783032049469

Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder

Autoři: Gi-Hu Kim Hae-Seong Jeong Han-Sung Kim a další

Zdroj: Journal of the Korean Physical Society. 87:883-891

Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder.

Autoři: Kim, Gi-Hu Jeong, Hae-Seong Kim, Han-Sung a další

Zdroj: Journal of the Korean Physical Society. Oct2025, Vol. 87 Issue 7, p883-891. 9p.

Daily Power Scenario Generation Method for Multiple Wind Farms Based on Gaussian Mixture Clustering and Improved Conditional Variational Autoencoder

Autoři: Dan LI Yunyan LIANG Shuwei MIAO a další

Zdroj: Zhongguo dianli, Vol 57, Iss 12, Pp 17-29 (2024)

Témata: wind power scenario generation, gaussian mixture model, feature extraction, conditional variational autoencoder, hyperspherical distribution, regularization technique, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis souboru: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311050; https://doaj.org/toc/1004-9649

Přístupová URL adresa: https://doaj.org/article/4465b91aecc5458fbe897fd9f023c8fb

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)

EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2

Autoři: Junhao Liu Zeyu Luo Rui Wang a další

Zdroj: PLoS Computational Biology, Vol 21, Iss 7 (2025)

Témata: Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12266453/?tool=EBI; https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358

Přístupová URL adresa: https://doaj.org/article/e90b36230d7c4a5880e1792ab585e62f

Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder

Autoři: Melechovsky, Jan Mehrish, Ambuj Sisman, Berrak a další

Zdroj: TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). :343-346

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

Přístupová URL adresa: http://arxiv.org/abs/2211.03316

A Radio Map Estimation Method Based on Improved Conditional Variational Autoencoder

Autoři: Zhuang An Zheng Dou Qi Liu a další

Zdroj: 2024 International Conference on Intelligent Communication, Sensing and Electromagnetics (ICSE). :9-13

Disentangled Conditional Variational Autoencoder for Unsupervised Anomaly Detection

Autoři: Asif Ahmed Neloy Maxime Turgeon

Zdroj: 2024 IEEE International Conference on Big Data (BigData). :138-143

Design of an Improved Model for Music Sequence Generation Using Conditional Variational Autoencoder and Conditional GAN

Autoři: Pallavi Ganorkar Anagha Rathkanthiwar

Zdroj: 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). :1-4

STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification

Autoři: Seong Jin Bang Min Jung Kang Min-Goo Lee a další

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4201-4222 (2024)

Témata: Conditional variational autoencoder, Human pose estimation, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, Information technology, 02 engineering and technology, Class imbalance problem, Human action recognition, T58.5-58.64

Přístupová URL adresa: https://doaj.org/article/c72756fe6c6b4986a006e7d63158d538