Výsledky vyhledávání - "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

Autoři: 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

Autoři: Yuanming Ding Wei Kang Jianxin Feng a další

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

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

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

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

Autoři: 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

Autoři: Basava Ramanjaneyulu Gudivaka Muntather Almusawi M S Priyanka a další

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

Autoři: 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

Autoři: Razghandi, Mina Zhou, Hao Erol-Kantarci, Melike a další

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

Témata: 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)

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

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

Autoři: Guo-Yu Liu Qun-Xiong Zhu Yi Luo a další

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

Autoři: Miao Hu Shujiao Jiang Fenglong Jia a další

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

Témata: 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 souboru: electronic resource

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

Přístupová 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

Autoři: Mansheng Lin Shuai Teng Gongfa Chen a další

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

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

Popis souboru: electronic resource

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

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

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

Autoři: Masashi Unoki Boxin He Shengbei Wang a další

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

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

Přístupová 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

Autoři: Chong Shao Shahriar Nirjon

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

Přístupová 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

Autoři: Ebenezer Akinyemi Ajayi Kian Ming Lim Siew-Chin Chong a další

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

Témata: QA75-76.95 Calculating machines

Popis souboru: text

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

Autoři: Liu, Guo-yu Zhu, Qun-Xiong Luo, Yi a další

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

Témata: *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

Autoři: Yitian Wang Yuxiang Wei Huan Wang

Zdroj: Measurement Science and Technology. 34:024008

Témata: 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

Autoři: Kai Wang Sai Kit Ooi Junghui Chen a další

Zdroj: Chemometrics and Intelligent Laboratory Systems. 217:104385

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

Přístupová 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.

Autoři: BI, ANQI ZHAO, LU YING, WENHAO

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

Témata: 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

Autoři: ZHANG Ruichen BIAN Shaofeng LIU Yanchun a další

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

Témata: 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

Dostupnost: 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

Autoři: Chenxi Tian Yuliang Ma Jared Cammon a další

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

Témata: 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

Přístupová 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.

Autoři: Hu, Miao Jiang, Shujiao Jia, Fenglong a další

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

Témata: 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.

Autoři: Ajayi, Ebenezer Akinyemi Kian Ming Lim Siew-Chin Chong a další

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

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