Search Results - "variational autoencoder-generative adversarial network"

Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network

Authors: Lin, Mansheng Chen, Gongfa Bassir, David

Source: Smart Manufacturing, Structural Health Monitoring and Digital Twins. 80

Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network

Authors: Yuanming Ding Wei Kang Jianxin Feng et al.

Source: IEEE Access, Vol 11, Pp 83680-83691 (2023)

Subject Terms: oversampling, Credit card fraud, variational autoencoder generative adversarial network, ensemble learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/0631a57b0777428682910b25b16e4b35

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

An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection

Authors: Basava Ramanjaneyulu Gudivaka Muntather Almusawi M S Priyanka et al.

Source: 2024 Second International Conference on Data Science and Information System (ICDSIS). :1-4

A SEMANTIC EMBEDDING VARIATIONAL AUTOENCODER GENERATIVE ADVERSARIAL NETWORK MODEL FOR ALZHEIMER’S DISEASE MRI IMAGE CLASSIFICATION

Authors: ANQI BI LU ZHAO WENHAO YING

Source: Journal of Mechanics in Medicine and Biology. 25

Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home

Authors: Razghandi, Mina Zhou, Hao Erol-Kantarci, Melike et al.

Source: ICC 2022 - IEEE International Conference on Communications. :4781-4786

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 9. Industry and infrastructure, FOS: Electrical engineering, electronic engineering, information engineering, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), 02 engineering and technology, Electrical Engineering and Systems Science - Systems and Control, 7. Clean energy, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2201.07387

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.

Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data

Authors: Miao Hu Shujiao Jiang Fenglong Jia et al.

Source: Applied Sciences, Vol 13, Iss 15, p 8841 (2023)

Subject Terms: aquatic beetles, biodiversity, insect community, convolutional neural networks, variational autoencoder generative adversarial network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/15/8841; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/1c2e2a83a737468fa9ca5faed26440ef

Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network

Authors: Mansheng Lin Shuai Teng Gongfa Chen et al.

Source: Land, Vol 12, Iss 3, p 525 (2023)

Subject Terms: transfer learning with attributes, landslide spatial prediction, variational autoencoder generative adversarial network, deep-learning frameworks, Agriculture

File Description: electronic resource

Relation: https://www.mdpi.com/2073-445X/12/3/525; https://doaj.org/toc/2073-445X

Access URL: https://doaj.org/article/70854ff35c8c41dbab731a3300f09b5b

Data Augmentation for Monaural Singing Voice Separation Based on Variational Autoencoder-Generative Adversarial Network

Authors: Masashi Unoki Boxin He Shengbei Wang et al.

Source: 2019 IEEE International Conference on Multimedia and Expo (ICME). :1354-1359

Subject Terms: 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0305 other medical science

Access URL: https://ieeexplore.ieee.org/document/8784920/
https://doi.org/10.1109/ICME.2019.00235
https://dblp.uni-trier.de/db/conf/icmcs/icme2019.html#HeWYWU19

Deep Beacon: Image Storage and Broadcast over BLE Using Variational Autoencoder Generative Adversarial Network

Authors: Chong Shao Shahriar Nirjon

Source: 2018 14th International Conference on Distributed Computing in Sensor Systems (DCOSS). :147-154

Access URL: https://ieeexplore.ieee.org/abstract/document/8510976/
https://dblp.uni-trier.de/db/conf/dcoss/dcoss2018.html#ShaoN18

Three-dimensional shape generation via variational autoencoder generative adversarial network with signed distance function

Authors: Ebenezer Akinyemi Ajayi Kian Ming Lim Siew-Chin Chong et al.

Source: International Journal of Electrical and Computer Engineering (IJECE). 13:4009

Subject Terms: QA75-76.95 Calculating machines

File Description: text

Marginal region-integrated regressive conditional variational autoencoder-generative adversarial network: A soft sensing enhancement method.

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

Source: Chemometrics & Intelligent Laboratory Systems. Jan2026, Vol. 268, pN.PAG-N.PAG. 1p.

Subject Terms: *GENERATIVE adversarial networks, *DATA augmentation, *SAMPLE size (Statistics), *PROCESS control systems, *STATISTICAL reliability, *MACHINE learning

A class imbalanced wafer defect classification framework based on variational autoencoder generative adversarial network

Authors: Yitian Wang Yuxiang Wei Huan Wang

Source: Measurement Science and Technology. 34:024008

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance

Authors: Kai Wang Sai Kit Ooi Junghui Chen et al.

Source: Chemometrics and Intelligent Laboratory Systems. 217:104385

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0210 nano-technology

Access URL: https://www.sciencedirect.com/science/article/pii/S0169743921001532

A SEMANTIC EMBEDDING VARIATIONAL AUTOENCODER GENERATIVE ADVERSARIAL NETWORK MODEL FOR ALZHEIMER'S DISEASE MRI IMAGE CLASSIFICATION.

Authors: BI, ANQI ZHAO, LU YING, WENHAO

Source: Journal of Mechanics in Medicine & Biology; Mar2025, Vol. 25 Issue 2, p1-15, 15p

Subject Terms: GENERATIVE adversarial networks, IMAGE recognition (Computer vision), MAGNETIC resonance imaging, AUTOENCODERS, ALZHEIMER'S disease, PROBABILISTIC generative models

Widespread bathymetric outliers detection and elimination based on conditional variational autoencoder generative adversarial network

Authors: ZHANG Ruichen BIAN Shaofeng LIU Yanchun et al.

Source: Acta Geodaetica et Cartographica Sinica, Vol 48, Iss 9, Pp 1182-1189 (2019)

Subject Terms: bathymetricoutliers, data processing, conditional variational autoencoder, generative adversarial network, feature extraction, Mathematical geography. Cartography, GA1-1776

Relation: http://html.rhhz.net/CHXB/html/2019-9-1182.htm; https://doaj.org/toc/1001-1595; https://doaj.org/article/0705f4122aad4a53b96578b1d5328c64

Availability: https://doi.org/10.11947/j.AGCS.2019.20180203
https://doaj.org/article/0705f4122aad4a53b96578b1d5328c64

Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation

Authors: Chenxi Tian Yuliang Ma Jared Cammon et al.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2018-2027 (2023)

Subject Terms: dual-encoder, variational autoencoder-generative adversarial network, Entropy, Emotions, Electroencephalography, RM1-950, electroencephalogram, Medical technology, Humans, Emotion recognition, Therapeutics. Pharmacology, Neural Networks, Computer, R855-855.5, Electrodes, data augmentation

Access URL: https://pubmed.ncbi.nlm.nih.gov/37053054
https://doaj.org/article/ddb7cf71ca7d40aa809fef13e18571fd

Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data.

Authors: Hu, Miao Jiang, Shujiao Jia, Fenglong et al.

Source: Applied Sciences (2076-3417); Aug2023, Vol. 13 Issue 15, p8841, 21p

Subject Terms: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, BEETLES, NUMBERS of species, WATER depth, PROBABILISTIC generative models

Three-dimensional shape generation via variational autoencoder generative adversarial network with signed distance function.

Authors: Ajayi, Ebenezer Akinyemi Kian Ming Lim Siew-Chin Chong et al.

Source: International Journal of Electrical & Computer Engineering (2088-8708); Aug2023, Vol. 13 Issue 4, p4009-4019, 11p

Subject Terms: GENERATIVE adversarial networks, CONVOLUTIONAL neural networks, COMPUTER vision, COMPUTER graphics, THREE-dimensional imaging, VISUAL cryptography