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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 |
AI-driven anomaly detection in oscilloscope images for post-silicon validation
Akash, Kowshic A.. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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3 |
Anomaly Detection and Forecasting Techniques and their Applications Scenarios, Challenges and Limits in Industrial Production Settings
Soller, Sebastian. - Passau : Universität Passau, 2025
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4 |
Anomaly detection for interoperable and modular operating room tables
Puder, Andreas. - Karlsruhe : KIT-Bibliothek, 2025
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5 |
Anomaly detection for interoperable and modular operating room tables
Puder, Andreas. - Karlsruhe : KIT Scientific Publishing, 2025
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6 |
Anomaly Detection in Process Monitoring Data of Additive Manufacturing by Neural Networks
Holtmann, Jonas. - München : Universitätsbibliothek der TU München, 2025
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7 |
Artificial Intelligence-Driven Aesthetic Anomaly Detection for Induction Motors
Berlin : Prior Art Publishing GmbH, 2025, Date:2025-05-15; File(MD5):9207F9E8960BF8BDB234D501A5418D43
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8 |
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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9 |
Exploring NAS for anomaly detection in superconducting cavities of particle accelerators
Boukela, Lynda. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
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10 |
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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