On the public citation graph

Hybrid Robust Dual-Convolutional Autoencoder with Bidirectional Cross-Attention for Unsupervised Anomaly Detection of Electric Regulating Valves

https://doi.org/10.2139/ssrn.5811064
0 signed · 24 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22162openalex-snapshot
Distance measure for Fermatean fuzzy linguistic term sets based on linguistic scale function: An illustration of the TODIM and TOPSIS methods
inferredcites →https://doi.org/10.1007/s00170-015-7530-3openalex-snapshot
Experimental study of tool life transition and wear monitoring in turning operation using a hybrid method based on wavelet multi-resolution analysis and empirical mode decomposition
inferredcites →https://doi.org/10.1007/s00170-017-0404-0openalex-snapshot
Hidden semi-Markov model-based method for tool wear estimation in milling process
inferredcites →https://doi.org/10.1007/s00170-020-05931-5openalex-snapshot
Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine
inferredcites →https://doi.org/10.1007/s11465-018-0472-3openalex-snapshot
Basic research on machinery fault diagnostics: Past, present, and future trends
inferredcites →https://doi.org/10.1016/j.asoc.2021.107751openalex-snapshot
Temporal convolutional autoencoder for unsupervised anomaly detection in time series
inferredcites →https://doi.org/10.1016/j.envint.2021.106379openalex-snapshot
Evacuation after a nuclear accident: Critical reviews of past nuclear accidents and proposal for future planning
inferredcites →https://doi.org/10.1016/j.neucom.2017.12.014openalex-snapshot
Single image super-resolution using a deep encoder–decoder symmetrical network with iterative back projection
inferredcites →https://doi.org/10.1016/j.patcog.2017.08.029openalex-snapshot
Deep adaptive feature embedding with local sample distributions for person re-identification
inferredcites →https://doi.org/10.1016/j.patrec.2018.03.010openalex-snapshot
Residual Codean Autoencoder for Facial Attribute Analysis
inferredcites →https://doi.org/10.1016/j.rcim.2016.11.008openalex-snapshot
Tool condition monitoring in interrupted cutting with acceleration sensors
inferredcites →https://doi.org/10.1016/j.rcim.2022.102391openalex-snapshot
MS-SSPCANet: A powerful deep learning framework for tool wear prediction
inferredcites →https://doi.org/10.1016/j.rineng.2024.102700openalex-snapshot
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
inferredcites →https://doi.org/10.1016/j.rineng.2025.104277openalex-snapshot
Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment
inferredcites →https://doi.org/10.1016/j.rinp.2018.08.023openalex-snapshot
Laser stripe image denoising using convolutional autoencoder
inferredcites →https://doi.org/10.1016/j.ymssp.2016.07.046openalex-snapshot
Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey
inferredcites →https://doi.org/10.1016/j.ymssp.2021.107738openalex-snapshot
Sound singularity analysis for milling tool condition monitoring towards sustainable manufacturing
inferredcites →https://doi.org/10.1109/access.2021.3058809openalex-snapshot
Unsupervised Fake News Detection Based on Autoencoder
inferredcites →https://doi.org/10.1109/tetci.2021.3115666openalex-snapshot
A New Semi-Supervised Fault Diagnosis Method via Deep CORAL and Transfer Component Analysis
inferredcites →https://doi.org/10.1109/tii.2020.2966326openalex-snapshot
One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis
inferredcites →https://doi.org/10.1109/tmech.2022.3177174openalex-snapshot
Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain
inferredcites →https://doi.org/10.1155/2019/9543490openalex-snapshot
A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering
inferredcites →https://doi.org/10.1155/2024/5459452openalex-snapshot
An Efficient Anomaly Detection Method for Industrial Control Systems: Deep Convolutional Autoencoding Transformer Network
inferredcites →https://doi.org/10.3390/s20216113openalex-snapshot
Tool Wear Condition Monitoring by Combining Variational Mode Decomposition and Ensemble Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.