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1 |
A Hybrid and Modular Integration Concept for Anomaly Detection in Industrial Control Systems
Goetz, Christian. - Darmstadt : Hochschule Darmstadt, 2025
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2 |
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Vitale, Francesco. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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3 |
Exploring NAS for anomaly detection in superconducting cavities of particle accelerators
Boukela, Lynda. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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4 |
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs
Behrendt, Finn. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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5 |
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pretraining and Customized Fine-Tuning
Dong, Yongqi. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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6 |
Novel optical fiber-based method for spatially resolved temperature measurement and thermal anomaly detection in battery modules
Krause, Florian Patrick Linus. - Aachen : Universitätsbibliothek der RWTH Aachen, 2025
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7 |
Reconstruction-based visual anomaly detection in wound rotor synchronous machine production using convolutional autoencoders and structural similarity
Kohler, Markus. - Ingolstadt : Technische Hochschule Ingolstadt, 2025
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8 |
Resource‐Efficient Anomaly Detection in Industrial Control Systems With Quantized Recurrent Variational Autoencoder
Fährmann, Daniel. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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9 |
Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection
Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 30 S.
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10 |
Exploring seismic mass-movement data with anomaly detection and dynamic time warping
Enthalten in EGUsphere 09.09.2025: 1-31. 31 S.
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