Results 91 to 100 of about 3,700 (193)

A Multi-Level-Denoising Autoencoder Approach for Wind Turbine Fault Detection

IEEE Access, 2019
The effective fault detection of wind turbines (WTs) can greatly help to improve their availability and reduce their operation and maintenance costs. In this context, data-driven fault detection approaches have attracted a lot of interests due to the ...
Xin Wu, Guoqian Jiang, Xiao Wang, Ping Xie, Xiaoli Li   +4 more
doaj   +1 more source

Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation

Sensors
This paper discusses the problem of recognizing defective epoxy drop images for the purpose of performing vision-based die attachment inspection in integrated circuit (IC) manufacturing based on deep neural networks.
Lamia Alam, Nasser Kehtarnavaz
doaj   +1 more source

AE-LGBM: Sequence-Based Novel Approach To Detect Interacting Protein Pairs via Ensemble of Autoencoder and LightGBM [PDF]

, 2020
Abhibhav Sharma, Buddha Singh
openalex   +1 more source

A tutorial on multi-view autoencoders using the multi-view-AE library

There has been a growing interest in recent years in modelling multiple modalities (or views) of data to for example, understand the relationship between modalities or to generate missing data. Multi-view autoencoders have gained significant traction for their adaptability and versatility in modelling multi-modal data, demonstrating an ability to ...
Aguila, Ana Lawry, Altmann, Andre
openaire   +2 more sources

Model Validation for Multivariate Functional Responses via Autoencoder-Based Dual-Layer Feature Extraction

Mathematics
Model validation for complex simulation models with multivariate functional responses poses significant challenges, as it involves the dual coupling of physical correlations among variables and field correlations in time-series data.
Dengyu Wu, Xiaodong Zhang, Daobo Sun, Haidong Lin, Jinhui Li, Baoqiang Zhang   +5 more
doaj   +1 more source

Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier Space [PDF]

, 2022
Gian Marco Visani, Michael N. Pun, Armita Nourmohammad, Nourmohammad, Armita   +3 more
openalex   +1 more source

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion [PDF]

, 2023
Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup   +2 more
openalex   +1 more source

Data Augmentation for Text Classification Using Autoencoders

IEEE Access
Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire.
Mustafa Cataltas, Ilyas Cicekli, Nurdan Akhan Baykan   +2 more
doaj   +1 more source

AddAG-AE: Anomaly Detection in Dynamic Attributed Graph Based on Graph Attention Network and LSTM Autoencoder [PDF]

, 2023
Gongxun Miao, Guohua Wu, Zhen Zhang, Yongjie Tong, Bing Lu   +4 more
openalex   +1 more source

Multi-view-AE: A Python package for multi-view autoencoder models

Journal of Open Source Software, 2023
Ana Lawry Aguila, Alejandra Jayme, Nina Montaña-Brown, Vincent Heuveline, Andre Altmann   +4 more
openaire   +2 more sources