Výsledky vyhľadávania - "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

Autori: Lin, Mansheng Chen, Gongfa Bassir, David

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

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

Autori: Yuanming Ding Wei Kang Jianxin Feng a ďalší

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

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

Prístupová URL adresa: https://doaj.org/article/0631a57b0777428682910b25b16e4b35

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

Autori: Yantao Li Caike Ouyang Hongyu Huang

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

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

Autori: Basava Ramanjaneyulu Gudivaka Muntather Almusawi M S Priyanka a ďalší

Zdroj: 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

Autori: ANQI BI LU ZHAO WENHAO YING

Zdroj: Journal of Mechanics in Medicine and Biology. 25

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

Autori: Razghandi, Mina Zhou, Hao Erol-Kantarci, Melike a ďalší

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

Predmety: 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)

Prístupová URL adresa: http://arxiv.org/abs/2201.07387

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

Autori: Guo-Yu Liu Qun-Xiong Zhu Yi Luo a ďalší

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

Autori: Miao Hu Shujiao Jiang Fenglong Jia a ďalší

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

Predmety: 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

Popis súboru: electronic resource

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

Prístupová URL adresa: 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

Autori: Mansheng Lin Shuai Teng Gongfa Chen a ďalší

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/70854ff35c8c41dbab731a3300f09b5b

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

Autori: Masashi Unoki Boxin He Shengbei Wang a ďalší

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

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

Prístupová URL adresa: 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

Autori: Chong Shao Shahriar Nirjon

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

Prístupová URL adresa: 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

Autori: Ebenezer Akinyemi Ajayi Kian Ming Lim Siew-Chin Chong a ďalší

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

Predmety: QA75-76.95 Calculating machines

Popis súboru: text

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

Autori: Liu, Guo-yu Zhu, Qun-Xiong Luo, Yi a ďalší

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

Predmety: *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

Autori: Yitian Wang Yuxiang Wei Huan Wang

Zdroj: Measurement Science and Technology. 34:024008

Predmety: 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

Autori: Kai Wang Sai Kit Ooi Junghui Chen a ďalší

Zdroj: Chemometrics and Intelligent Laboratory Systems. 217:104385

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

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

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

Autori: BI, ANQI ZHAO, LU YING, WENHAO

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

Predmety: 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

Autori: ZHANG Ruichen BIAN Shaofeng LIU Yanchun a ďalší

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

Predmety: 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

Dostupnosť: 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

Autori: Chenxi Tian Yuliang Ma Jared Cammon a ďalší

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

Predmety: 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

Prístupová URL adresa: 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.

Autori: Hu, Miao Jiang, Shujiao Jia, Fenglong a ďalší

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

Predmety: 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.

Autori: Ajayi, Ebenezer Akinyemi Kian Ming Lim Siew-Chin Chong a ďalší

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

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