Výsledky vyhledávání - Model-constrained autoencoder

TAEN: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems

Autoři: Nguyen, Hai V. Bui-Thanh, Tan Dawson, Clint

Témata: Computer Science - Machine Learning, Physics - Computational Physics, text

URL: http://arxiv.org/abs/2412.07010

Taen: A Model-Constrained Tikhonov Autoencoder Network for Forward and Inverse Problems

Autoři: Hai Van Nguyen Tan Bui-Thanh Clint Dawson

Zdroj: Computer Methods in Applied Mechanics and Engineering. 446:118245

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Physical sciences, Computational Physics (physics.comp-ph), Physics - Computational Physics, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2412.07010

TAEN: a model-constrained Tikhonov autoencoder network for forward and inverse problems.

Autoři: Van Nguyen, Hai Bui-Thanh, Tan Dawson, Clint

Zdroj: Computer Methods in Applied Mechanics & Engineering. Nov2025:Part A, Vol. 446, pN.PAG-N.PAG. 1p.

Témata: *INVERSE problems, *AUTOENCODERS, *MACHINE learning, *INITIAL value problems, *RANDOMIZATION (Statistics), *APPROXIMATION theory, *NUMERICAL analysis

Autoencoder-enhanced joint dimensionality reduction for constrained Bayesian optimisation.

Autoři: Maathuis, Hauke Breuker, Roeland De Castro, Saullo G P

Zdroj: Machine Learning: Science & Techonology; 2025, Vol. 6 Issue 4, p1-17, 17p

Deep Neural Network with Anomaly Detection for Single-Cycle Battery Lifetime Prediction.

Autoři: Lee, Junghwan Wang, Longda Jung, Hoseok a další

Zdroj: Batteries; Aug2025, Vol. 11 Issue 8, p288, 22p

Témata: AUTOENCODERS, DEEP learning, ARTIFICIAL neural networks, DATA integrity, REMAINING useful life, OUTLIER detection, ELECTRIC vehicles

Fault Diagnosis for Imbalanced Datasets Based on Deep Convolution Fuzzy System.

Autoři: Zhu, Junwei Zhu, Linfang

Zdroj: Machines; Apr2025, Vol. 13 Issue 4, p326, 20p

Témata: DATA augmentation, FUZZY systems, LATENT variables, AUTOENCODERS, WAVELET transforms

Hybrid Deep Learning for Fault Diagnosis in Photovoltaic Systems.

Autoři: Bougoffa, Mouaad Benmoussa, Samir Djeziri, Mohand a další

Zdroj: Machines; May2025, Vol. 13 Issue 5, p378, 18p

Témata: CLEAN energy, SUSTAINABILITY, PHOTOVOLTAIC power systems, ENERGY infrastructure, AUTOENCODERS, DEEP learning

A new method for promoting the detection of breast cancer in thermograms: applying deep autoencoders for eliminating redundancies in parallel with preserving independent components.

Autoři: Shojaedini, Seyed Vahab Bahramzadeh, Bahram

Zdroj: Journal of Ambient Intelligence & Humanized Computing; Dec2024, Vol. 15 Issue 12, p4085-4099, 15p

Model-constrained deep learning for online fault diagnosis in Li-ion batteries over stochastic conditions.

Autoři: Cao, Rui Zhang, Zhengjie Shi, Runwu a další

Zdroj: Nature Communications; 2/14/2025, Vol. 16, p1-11, 11p

Témata: FAULT diagnosis, DEEP learning, INTERNET safety, STOCHASTIC systems, SHORT circuits, LITHIUM-ion batteries

TNet: A MODEL-CONSTRAINED TIKHONOV NETWORK APPROACH FOR INVERSE PROBLEMS.

Autoři: NGUYEN, HAI V. TAN BUI-THANH

Zdroj: SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 1, pC77-C100, 24p

Témata: ARTIFICIAL neural networks, PARTIAL differential equations, STOKES equations, DECONVOLUTION (Mathematics), BURGERS' equation, THERMAL conductivity, TIKHONOV regularization, HEAT equation, INVERSE problems

Conventional to Deep Learning Methods for Hyperspectral Unmixing: A Review.

Autoři: Zou, Jinlin Qu, Hongwei Zhang, Peng

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 17, p2968, 44p

Témata: DEEP learning, REMOTE sensing, ALGORITHMS, METADATA, IMAGE processing, IMAGE reconstruction algorithms

Edge-FLGuard: A Federated Learning Framework for Real-Time Anomaly Detection in 5G-Enabled IoT Ecosystems.

Autoři: Reis, Manuel J. C. S.

Zdroj: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6452, 19p

Témata: FEDERATED learning, ARTIFICIAL intelligence, DATA privacy, COMPUTER network security, MACHINE learning, DEEP learning

Nonlinear Unmixing via Deep Autoencoder Networks for Generalized Bilinear Model.

Autoři: Zhang, Jinhua Zhang, Xiaohua Meng, Hongyun a další

Zdroj: Remote Sensing; Oct2022, Vol. 14 Issue 20, p5167-5167, 24p

Témata: TASK analysis

Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

Autoři: Krishnan, Keerthi Kassab, Ryan Agajanian, Steve a další

Zdroj: International Journal of Molecular Sciences; Oct2022, Vol. 23 Issue 19, p11262, 22p

Témata: CHEMICAL inhibitors, KINASE inhibitors, PROTEIN-tyrosine kinases, PROTEIN-tyrosine kinase inhibitors, MACHINE learning, PROTEIN kinase inhibitors, SMALL molecules, CHEMICAL models

A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems.

Autoři: Nguyen, Hai V. Bui-Thanh, Tan

Zdroj: International Journal of Computational Fluid Dynamics; Aug2022, Vol. 36 Issue 7, p655-685, 31p

Témata: DYNAMICAL systems, SEQUENTIAL learning, BURGERS' equation, DIGITAL twin, TRANSPORT equation, NAVIER-Stokes equations

Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures.

Autoři: Sordo, Zineb Chagnon, Eric Hu, Zixi a další

Zdroj: Journal of Imaging; Aug2025, Vol. 11 Issue 8, p252, 47p

Témata: GENERATIVE artificial intelligence, GENERATIVE adversarial networks, SCIENTIFIC visualization, PROBABILISTIC generative models, STATISTICAL measurement, COMPUTER-generated imagery, LATENT variables

SEMI-SUPERVISED VIOLIN FINGERING GENERATION USING VARIATIONAL AUTOENCODERS.

Autoři: Cheung, Vincent K. M. Hsuan-Kai Kao Li Su

Zdroj: International Society for Music Information Retrieval Conference Proceedings; 2021, p113-120, 8p

Témata: STRINGED instruments, SHEET music, VIOLIN music, SUPERVISED learning, MUSICAL performance

Head and Neck Oropharyngeal GTV Autosegmentation: Combining nnU-Net With Shape Representation Loss Driven by a Variational Autoencoder Model

Autoři: Ricky R. Savjani S.G. Scheib S. Bose a další

Zdroj: International Journal of Radiation Oncology*Biology*Physics. 111:e398

Témata: 03 medical and health sciences, 0302 clinical medicine, 3. Good health

Přístupová URL adresa: http://www.redjournal.org/article/S0360301621020241/pdf
https://www.sciencedirect.com/science/article/pii/S0360301621020241

Visible neural networks for multi-omics integration: a critical review.

Autoři: Selby, David Antony Jakhmola, Rashika Sprang, Maximilian a další

Zdroj: Frontiers in Artificial Intelligence; 2025, p1-17, 17p

Solving Bayesian Inverse Problems via Variational Autoencoders

Autoři: Goh, Hwan Sheriffdeen, Sheroze Wittmer, Jonathan a další

Přispěvatelé: Goh, Hwan Sheriffdeen, Sheroze Wittmer, Jonathan a další

Relation: 1912.04212; 2-s2.0-85141908956; 386-425; http://hdl.handle.net/10754/693188; 145

Dostupnost: http://hdl.handle.net/10754/693188