Suchergebnisse - "((\"autoencoder application\") OR (\"Autoencoder publications\"))*"

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autoren: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei et al.

Quelle: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Schlagwörter: EVAPOTRANSPIRATION, AUTOENCODERS, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

Prediction of hysteretic matric potential dynamics using artificial intelligence: application of autoencoder neural networks

Autoren: Aqel, Nedal Reusser, Lea Margreth, Stephan et al.

Quelle: eISSN: 1991-9603

Dateibeschreibung: application/pdf

Relation: https://gmd.copernicus.org/articles/17/6949/2024/

Verfügbarkeit: https://doi.org/10.5194/gmd-17-6949-2024
https://gmd.copernicus.org/articles/17/6949/2024/

Detection of outliers in dam monitoring time series with autoencoders

Autoren: Irazábal, Joaquín Salazar, Fernando Silva-Cancino, Nathalia et al.

Index Begriffe: Àrees temàtiques de la UPC::Enginyeria civil, Outliers, Time series, Autoencoders, Dam monitoring, Machine learning, Article

URL: http://hdl.handle.net/2117/426190
https://link.springer.com/article/10.1007/s13349-025-00910-4
https://link.springer.com/article/10.1007/s13349-025-00910-4
PID2021-122661OB-I00
TED2021-129969B-C33
CEX2018-000797-S

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder

Autoren: Sanami, Saba Aghdam, Amir G.

Index Begriffe: Electrical Engineering and Systems Science - Signal Processing, Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2502.05428

Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines.

Autoren: Amjad, Jarrar Sajid, Muhammad Zaheer Amjad, Ammar et al.

Quelle: AI; Jul2025, Vol. 6 Issue 7, p151, 32p

Schlagwörter: KNEE osteoarthritis, AUTOENCODERS, DISEASE progression, FEATURE extraction, EXTREME learning machines, DEEP learning, IMAGE recognition (Computer vision), COMPUTER-assisted image analysis (Medicine)

Debiasing AI Narrative Generation for Racial Equity with a Text-Based Variational Autoencoder

Autoren: Wu, Yingnian He, Yuhuan

Index Begriffe: Statistics, Computer science, Adaptive Sampling, BERT Embeddings, Debiasing Algorithms, Fairness in Machine Learning, UMAP Visualization, Variational Autoencoder, publication

URL: https://escholarship.org/uc/item/8ck2244v
https://escholarship.org/content/qt8ck2244v/qt8ck2244v.pdf

A Showcase of the Use of Autoencoders in Feature Learning Applications

Autoren: Charte, David Charte, Francisco del Jesus, María J. et al.

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2005.04321

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

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

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

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

Industrial Process Fault Detection Based on Siamese Recurrent Autoencoder

Autoren: Ji, Cheng Ma, Fangyuan Wang, Jingde et al.

Index Begriffe: Control Engineering, Mechatronics and Robotics, Engineering, Engineering Practice and Education, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Chemical Engineering, Mechanical Engineering, Chemical engineering, publication

URL: https://escholarship.org/uc/item/5vt6w7sg
https://escholarship.org/content/qt5vt6w7sg/qt5vt6w7sg.pdf

Prediction of hysteretic matric potential dynamics using artificial intelligence: application of autoencoder neural networks.

Autoren: Aqel, Nedal Reusser, Lea Margreth, Stephan et al.

Quelle: Geoscientific Model Development; 2024, Vol. 17 Issue 18, p6949-6966, 18p

Schlagwörter: ARTIFICIAL neural networks, SOIL moisture, SOIL compaction, SIMILARITY (Physics), ARTIFICIAL intelligence, AUTOENCODERS

LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder

Autoren: Vieloszynski, Alexis Cherkaoui, Soumaya Ahmad, Ola et al.

Index Begriffe: Quantum Physics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2409.14622

CAECC-Subtyper: A Novel Convolutional Autoencoder Framework for Integrating Multi-omics Data in Cancer Subtyping.

Autoren: Uyar H Gumus O

Quelle: Biochemical genetics [Biochem Genet] 2025 Dec 04. Date of Electronic Publication: 2025 Dec 04.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0126611 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-4927 (Electronic) Linking ISSN: 00062928 NLM ISO Abbreviation: Biochem Genet Subsets: MEDLINE

DeepCor: denoising fMRI data with contrastive autoencoders.

Autoren: Zhu Y Aglinskas A Anzellotti S

Quelle: Nature methods [Nat Methods] 2025 Nov 28. Date of Electronic Publication: 2025 Nov 28.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE

An evolutionary neural architecture search for item response theory autoencoders.

Autoren: Tabak, Gabriel Couto Molenaar, Dylan Curi, Mariana

Quelle: Behaviormetrika; Jul2025, Vol. 52 Issue 2, p293-316, 24p

Schlagwörter: AUTOENCODERS, ITEM response theory, STATISTICAL models, EVOLUTIONARY models, PARAMETER estimation, ARTIFICIAL neural networks

Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows

Autoren: Heiland, Jan Kim, Yongho

Index Begriffe: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Mathematics - Dynamical Systems, text

URL: http://arxiv.org/abs/2401.10620

Detecting network intrusions in cyber-physical systems using deep autoencoder-based dimensionality reduction approach and deep neural networks.

Autoren: Ibor, A. E. Egete, D. O. Otiko, A. O. et al.

Quelle: Journal of Nigerian Society of Physical Sciences; Aug2025, Vol. 7 Issue 3, p1-15, 15p

Schlagwörter: ARTIFICIAL neural networks, FEEDFORWARD neural networks, AUTOENCODERS, CYBER physical systems, COMPUTER network traffic, DEEP learning

CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement

Autoren: Pucci, Rita Martinel, Niki

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

URL: http://arxiv.org/abs/2406.01294

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study

Autoren: Deyi Li Aditi Shukla Sravani Chandaka et al.

Quelle: JMIR Medical Informatics, Vol 13, Pp e68830-e68830 (2025)

Schlagwörter: Computer applications to medicine. Medical informatics, R858-859.7

Dateibeschreibung: electronic resource

Relation: https://medinform.jmir.org/2025/1/e68830; https://doaj.org/toc/2291-9694

Zugangs-URL: https://doaj.org/article/2dca2f26e359497ea5c5a88b5c7b479e

Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and their applications

Autoren: Yang, Nan Guo, Xin1

Index Begriffe: Operations research, Autoencoder, GAN, Optimization, publication

URL: https://escholarship.org/uc/item/5v77z2d3
https://escholarship.org/

Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and their applications

Autoren: Guo, Xin Yang, Nan

Index Begriffe: Operations research, Autoencoder, GAN, Optimization, publication

URL: https://escholarship.org/uc/item/5v77z2d3
https://escholarship.org/content/qt5v77z2d3/qt5v77z2d3.pdf