Results 91 to 100 of about 247,960 (211)
AE-MoSE: an AutoEncoder Mixture of Spatial Experts for Geodemographic Classification
This work introduces a novel approach to geodemographic classification that combines an AutoEncoder architecture with a Mixture of Experts framework, incorporating a Graph Neural Network into the gating component to create a Mixture of Spatial Experts approach (AE-MoSE).
De Sabbata, Stef +3 more
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Intelligent Fault Diagnosis of Gas Pressure Regulator Based on AE-GWO-SVM Algorithm
A pressure regulator is essential for pressure control in a gas transmission system. The traditional maintenance approaches for pressure regulators involve equipment disassembly that disrupts normal production.
Shunyuan Hu +6 more
doaj +1 more source
In this paper, we propose a new hybrid model, called AVE, that integrates the strengths of Autoencoder (AE) and Variational Autoencoder (VAE) to enhance outlier detection for numerous high-dimensional datasets.
Ahmed M. Daoud +3 more
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This article investigates and compares four unsupervised anomaly detection algorithms: the Autoencoder (AE), LSTM-Autoencoder (LSTM-AE), One-Class SVM (OCSVM), and the Isolation Forest (IF). The analysis focuses on SCADA telemetry data from an urban wind
Lukasz Pawlik
doaj +1 more source
Multi-view-AE: A Python package for multi-view autoencoder models
Ana Lawry Aguila +4 more
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To solve the problem of insufficient accuracy in tool wear process modeling and Remaining Useful Life (RUL) estimation, this study proposes a two-stage prediction method.
Lihua Shen +3 more
doaj +1 more source
IntroductionEarly detection of crop stress in precision agriculture is hindered by complex multivariate sensor interactions, spatial variability across fields, and the scarcity of labeled anomaly data.
S. V. Sharvani +5 more
doaj +1 more source
Domain Adaption Based on ELM Autoencoder
We propose a new ELM Autoencoder (ELM-AE) based domain adaption algorithm which describes the subspaces of source and target domain by ELM-AE and then carries out subspace alignment to project different domains into a common new space.
Wan-Yu Deng, Qian Zhang, Yu-Tao Qu
core +1 more source
An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder
Due to the insidious characteristics of network intrusion behaviors, developing an efficient intrusion detection system is still a big challenge, especially in the era of big data where the number of traffic and the dimension of each traffic feature are ...
Chaofei Tang +2 more
core +1 more source
Ae$$^2$$I: A Double Autoencoder for Imputation of Missing Values
The most common strategy of imputing missing values in a table is to study either the column-column relationship or the row-row relationship of the data table, then use the relationship to impute the missing values based on the non-missing values from other columns of the same row, or from the other rows of the same column.
openaire +2 more sources

