Search Results - Conditional variational autoencoder network*

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

Authors: Jiang, Junhao Zuo, Yi Li, Zhiyuan

Source: Reliability Engineering and System Safety. 267

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

Access URL: https://research.chalmers.se/publication/549377

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

Authors: Yasi Tian Hui Zhang Weimin Huang

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

AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network

Authors: Yantao Li Caike Ouyang Hongyu Huang

Source: IEEE Internet of Things Journal. 11:27635-27650

Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder

Authors: Prithvipal Singh Sandeep Singh Gurupdesh Singh et al.

Source: Engineering Applications of Artificial Intelligence. 161:112220

Defect detection and data generation of shunt between three layers of resistance spot welding based on deep convolutional generative adversarial network and conditional variational autoencoder

Authors: Haofeng Deng Xiangdong Gao Dongfang Zhang et al.

Source: Engineering Applications of Artificial Intelligence. 160:111866

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

Authors: Junhao Liu Zeyu Luo Rui Wang et al.

Source: PLoS Computational Biology, Vol 21, Iss 7, p e1013268 (2025)

Subject Terms: Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358

Access URL: https://doaj.org/article/b1f49471ee704883a22758074bc235b1

Spectrum-Compatible Artificial Accelerograms Via Conditional Variational Autoencoder with Generative Adversarial Network

Authors: Xiaohu Hu CHEN Su Yi Ding et al.

Predicting critical heat flux with uncertainty quantification and domain generalization using conditional variational autoencoders and deep neural networks

Authors: Farah Alsafadi Aidan Furlong Xu Wu

Source: Annals of Nuclear Energy. 220:111502

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2409.05790

A-CAVE: Network abnormal traffic detection algorithm based on variational autoencoder

Authors: Shi Dong Huadong Su Yue Liu

Source: ICT Express, Vol 9, Iss 5, Pp 896-902 (2023)

Subject Terms: Conditional variational autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Intrusion detection, Information technology, 02 engineering and technology, T58.5-58.64, Anomaly traffic, Neural network

Access URL: https://doaj.org/article/c7155765739a4d04bd6ef775b7e0d2e0

Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder

Authors: Hengshan Zhang Kaijie Guo Yanping Chen et al.

Source: Applied Intelligence. 55

Optimal Dimensionality Reduction using Conditional Variational AutoEncoder

Authors: Boussam, Sana Carbone, Mathieu Gérard, Benoît et al.

Contributors: Boussam, Sana Carbone, Mathieu Gérard, Benoît et al.

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks

Authors: Yao, Yuchong Wangr, Xiaohui Ma, Yuanbang et al.

Source: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). :1-10

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2201.04809

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

Authors: Hui He Qi Zhang Kun Yi et al.

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

Subject Terms: 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)

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

Wavelet Transform-Based Bayesian Inference Learning with Conditional Variational Autoencoder for Mitigating Injection Attack in 6G Edge Network

Authors: Binu Sudhakaran Pillai Raghavendra Kulkarni Venkata Satya Suresh kumar Kondeti et al.

Source: Computer Modeling in Engineering & Sciences ; ISSN: 1526-1492 (Print) ; ISSN: 1526-1506 (Online) ; Volume 145 ; Issue 1

Subject Terms: Bayesian inference, learning automaton, convolutional wavelet transform, conditional variational autoencoder, malicious data injection attack, edge environment, 6G communication

File Description: application/pdf

Relation: https://doi.org/10.32604/cmes.2025.070348

Availability: https://doi.org/10.32604/cmes.2025.070348

Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks

Authors: Alsafadi, Farah Furlong, Aidan Wu, Xu

Index Terms: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2409.05790

Conditional Variational Autoencoder Networks for Autonomous Vehicle Path Prediction

Authors: D. N. Jagadish Arun Chauhan Lakshman Mahto

Source: Neural Processing Letters. 54:3965-3978

Subject Terms: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Conditional Variational Autoencoder and generative adversarial network-based approach for long-tailed fault diagnosis for the motor system

Authors: Mei Huang Chenxing Sheng Xiang Rao

Source: Measurement. 242:116116

Marginal Region-Integrated Regressive Conditional Variational Autoencoder-Generative Adversarial Network: A Soft Sensing Enhancement Method

Authors: Guo-Yu Liu Qun-Xiong Zhu Yi Luo et al.

Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder

Authors: Yuncheng Chen Yingbao Yang Xin Pan et al.

Source: IEEE Transactions on Geoscience and Remote Sensing. 60:1-13

Subject Terms: 0211 other engineering and technologies, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, 02 engineering and technology

Wavelet Transform-Based Bayesian Inference Learning with Conditional Variational Autoencoder for Mitigating Injection Attack in 6G Edge Network.

Authors: Pillai, Binu Sudhakaran Kulkarni, Raghavendra Kondeti, Venkata Satya Suresh kumar et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 145 Issue 1, p1141-1166, 26p

Subject Terms: 6G networks, ANOMALY detection (Computer security), BAYESIAN analysis, DEEP learning, WAVELET transforms, INTERNET security, CYBERTERRORISM