The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
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Lightweight Machine Learning and Statistical Models for Robust Fault Detection in IIoT‐Driven Oil and Gas Operations
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Artificial intelligence tools for preventive maintenance in gold processing mills: A review
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Acoustic Anomaly Detection for Propeller Crack Defects: A Drone-Based Surrogate Dataset for UAM
Industrial Internet of Things Cyber Threats Detection Through Deep Feature Learning and Stacked Sparse Autoencoder Based Classification
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Advanced virtual metrology using distribution alignment loss for practical quality control
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Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring
Robust regression modelling for inflation factor in the Indonesian economy development
A’yunin Sofro, Ika Aprilia Rizka Azzahro, Khusnia Nurul Khikmah, Orasa Nunkaw, N. Suprapto, B.K. Prahani, M. Satriawan, H.P.A. Tjahyaningtijas, M. Abdul Ghofur and S. Andari E3S Web of Conferences 513 01006 (2024) https://doi.org/10.1051/e3sconf/202451301006
Tool Condition Monitoring Methods Applicable in the Metalworking Process
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Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short‐Term Memory Modules
Electric vehicle supply equipment monitoring and early fault detection through autoencoders
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Machine Learning-Driven Maintenance Order Generation in Assembly Lines
Anomaly Detection in Industrial Machinery Using IoT Devices and Machine Learning: A Systematic Mapping
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Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos and João Gama Intelligent Data Analysis 27(4) 1087 (2023) https://doi.org/10.3233/IDA-226811
Feasibility of Digital Twins to Manage the Operational Risks in the Production of a Ready-Mix Concrete Plant
Detecting and Processing Anomalies in a Factory of the Future
Linda Feeken, Esther Kern, Alexander Szanto, Alexander Winnicki, Ching-Yu Kao, Björn Wudka, Matthias Glawe, Elham Mirzaei, Philipp Borchers and Christian Burghardt Applied Sciences 12(16) 8181 (2022) https://doi.org/10.3390/app12168181
Edge-to-Cloud IIoT for Condition Monitoring in Manufacturing Systems with Ubiquitous Smart Sensors
Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing
Dorota Stadnicka, Jarosław Sęp, Riccardo Amadio, Daniele Mazzei, Marios Tyrovolas, Chrysostomos Stylios, Anna Carreras-Coch, Juan Alfonso Merino, Tomasz Żabiński and Joan Navarro Sensors 22(12) 4501 (2022) https://doi.org/10.3390/s22124501
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Machine Learning-Based Anomaly Detection for Multivariate Time Series With Correlation Dependency
Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques
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MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach
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A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms