Results 91 to 100 of about 247,960 (211)

AE-MoSE: an AutoEncoder Mixture of Spatial Experts for Geodemographic Classification

open access: yes
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
openaire   +2 more sources

Intelligent Fault Diagnosis of Gas Pressure Regulator Based on AE-GWO-SVM Algorithm

open access: yesAutomation
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

A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder

open access: yesScientific Reports
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
doaj   +1 more source

Evaluating Reconstruction-Based and Proximity-Based Methods: A Four-Way Comparison (AE, LSTM-AE, OCSVM, IF) in SCADA Anomaly Detection Under Inverted Imbalance

open access: yesFuture Internet
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

open access: yesJournal of Open Source Software, 2023
Ana Lawry Aguila   +4 more
openaire   +2 more sources

Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction

open access: yesMachines
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

Spatially-aware unsupervised anomaly detection for soil stress monitoring using graph autoencoders in precision agriculture

open access: yesFrontiers in Sustainable Food Systems
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

open access: yes, 2017
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

open access: yes, 2020
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

open access: yes
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

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