Výsledky vyhľadávania - Stacked variational autoencoder*

Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images

Autori: S Nithya M. Mary Shanthi Rani

Zdroj: 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). :222-226

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Building Face Recognition System with Triplet-based Stacked Variational Denoising Autoencoder

Autori: Xuan Tuan Le

Zdroj: Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019. :106-110

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/soict/soict2019.html#Le19

SVAD: Stacked Variational Autoencoder Deep Neural Network -Based Dimensionality Reduction and classification of Small Sample Size and High Dimensional Data

Autori: Neha Srivastava Devendra K. Tayal

Zdroj: SN Computer Science. 5

Predmety: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences

Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks

Autori: Tibebu, Haileleol Malik, Aadil De Silva, Varuna

Témy: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2207.03332

SVDTI: Stacked variational autoencoder with SMILES-based drug representations for identifying drug-target interaction.

Autori: Ha, Jihwan¹ (AUTHOR) jhha@pknu.ac.kr

Zdroj: Neurocomputing. Jan2026, Vol. 661, pN.PAG-N.PAG. 1p.

Predmety: *DRUG discovery, *PREDICTION models, *MATRIX decomposition, *DRUG receptors, *PREDICTIVE tests, *CHEMICAL formulas, *RECURRENT neural networks

A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising

Autori: Chunyuan Liu Xiaomin Yu Peilong Wu a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Predmety: 3D indoor positioning, Stacked variational autoencoder, Wasserstein generative adversarial network, Attention mechanism, Denoising autoencoder, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/7d6129d2fbb942f7bfc1b0de39fd8270

Text feature extraction based on stacked variational autoencoder

Autori: Liang Wang Lei Che Xiaoping Yang

Zdroj: Microprocessors and Microsystems. 76:103063

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.sciencedirect.com/science/article/abs/pii/S0141933120300879
https://dblp.uni-trier.de/db/journals/mam/mam76.html#CheYW20

Comparing Functional and Effective Connectivity Features in Diagnosis of Autism Spectrum Disorder Using Stacked Autoencoder by Resting-State fMRI Data.

Autori: Navaei, Pegah Khadem, Ali Zaferani, Effat Jalaeian

Zdroj: Frontiers in Biomedical Technologies; Autumn2025, Vol. 12 Issue 4, p830-843, 14p

Predmety: AUTISM spectrum disorders, FUNCTIONAL connectivity, AUTOENCODER, ARTIFICIAL neural networks, FUNCTIONAL magnetic resonance imaging, GRANGER causality test

Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder

Autori: Zhenghui Gu Zhu Liang Yu Junjian Chen

Zdroj: Journal of Physics: Conference Series. 1631:012007

Predmety: 03 medical and health sciences, 0302 clinical medicine

Prístupová URL adresa: https://robots.iopscience.iop.org/article/10.1088/1742-6596/1631/1/012007/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/1631/1/012007/pdf
https://ui.adsabs.harvard.edu/abs/2020JPhCS1631a2007C/abstract
https://robots.iopscience.iop.org/article/10.1088/1742-6596/1631/1/012007

DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis

Autori: Gu, Yu Zhu, Qiushi Lei, Guangzhi a ďalší

Témy: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound, text

URL: http://arxiv.org/abs/2410.13288

SVAD: Stacked Variational Autoencoder Deep Neural Network-Based Dimensionality Reduction and Classification of Small Sample Size and High Dimensional Data

Autori: Srivastava, Neha Tayal, Devendra K. Department of Science and Technology, Ministry of Science and Technology, India

Prispievatelia: Srivastava, Neha Tayal, Devendra K. Department of Science and Technology, Ministry of Science and Technology, India

Zdroj: SN Computer Science ; volume 5, issue 7 ; ISSN 2661-8907

Dostupnosť: http://dx.doi.org/10.1007/s42979-024-03294-2
https://link.springer.com/content/pdf/10.1007/s42979-024-03294-2.pdf
https://link.springer.com/article/10.1007/s42979-024-03294-2/fulltext.html

Stacked Wasserstein Autoencoder

Autori: Xu, Wenju Keshmiri, Shawn Wang, Guanghui

Témy: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1910.02560

All SMILES Variational Autoencoder

Autori: Alperstein, Zaccary Cherkasov, Artem Rolfe, Jason Tyler

Témy: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1905.13343

Reliable Fault Diagnosis of Bearings Using an Optimized Stacked Variational Denoising Auto-Encoder

Autori: Xiaoan Yan Yadong Xu Daoming She a ďalší

Zdroj: Entropy, Vol 24, Iss 1, p 36 (2021)

Predmety: stacked variational denoising auto-encoder, seagull optimization algorithm, rolling bearing, fault diagnosis, Science, Astrophysics, QB460-466, Physics, QC1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1099-4300/24/1/36; https://doaj.org/toc/1099-4300

Prístupová URL adresa: https://doaj.org/article/9e53ea89bc54445888360548273ed1cc

A Variational Stacked Autoencoder with Harmony Search Optimizer for Valve Train Fault Diagnosis of Diesel Engine

Autori: Kun Chen Zhiwei Mao Haipeng Zhao a ďalší

Zdroj: Sensors, Vol 20, Iss 1, p 223 (2019)

Predmety: deep learning, autoencoder, harmony search optimizer, diesel engine, fault diagnosis, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/1/223; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/8a49a0477bad4ff396c8017f7c58e5f0

A New Deep Stacked Architecture for Multi-Fault Machinery Identification With Imbalanced Samples

Autori: Hanen Karamti Maha M. A. Lashin Fadwa M. Alrowais a ďalší

Zdroj: IEEE Access, Vol 9, Pp 58838-58851 (2021)

Predmety: Fault diagnosis, imbalanced samples, logistic regression, rotating machinery, sparse autoencoders, variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9399084/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/c3635dce090a46ff85f0d90aa7823bf1

Rolling Bearing Fault Diagnosis Based on Optimized VMD and SSAE

Autori: Baoxian Chang Xing Zhao Dawei Guo a ďalší

Zdroj: IEEE Access, Vol 12, Pp 130746-130762 (2024)

Predmety: Bearing fault diagnosis, dung beetle optimization algorithm, variational modal decomposition, stacked sparse autoencoders, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10494842/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/32acbd6ea9174f9b9521e2a0a6dffde3

Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study

Autori: Fouzi Harrou Abdelkader Dairi Abdelhakim Dorbane a ďalší

Zdroj: Results in Engineering, Vol 23, Iss , Pp 102504- (2024)

Predmety: Wind power forecasting, Data-driven, Deep learning, Self-attentive VAE, RNN, Technology

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259012302400759X; https://doaj.org/toc/2590-1230

Prístupová URL adresa: https://doaj.org/article/721e9dd10236449e925de32a119933b1

Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder

Autori: Hwanhee Kim Soohyun Ko Byung Ju Kim a ďalší

Zdroj: Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-12 (2022)

Predmety: De novo drug design, Reinforcement learning, Conditional Variational AutoEencoder, Sorafenib, Raf kinases, Information technology, T58.5-58.64, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1758-2946

Prístupová URL adresa: https://doaj.org/article/01327ec5eb24459cbd7fb1c48ad25b1b

Estimating daily global solar radiation using deep learning

Autori: Hamid Hamdaouy El Mahjoub Benghoulam Mohamed Chaibi a ďalší

Zdroj: Results in Engineering, Vol 27, Iss , Pp 106132- (2025)

Predmety: Daily global solar radiation, Long-short term memory, Gated recurrent units, Variational AutoEncoder, Convolutional neural network, Transformer, Technology

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025022042; https://doaj.org/toc/2590-1230

Prístupová URL adresa: https://doaj.org/article/4eeed0ada789418f9779759eff0af1b7