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A Modular Episodic Framework for Cross-Design Comparison in Multi-Mode Industrial Time Series
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Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning
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An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
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Unsupervised Time Series Segmentation: A Survey on Recent Advances
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Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations
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Explainable AI: A Review of Machine Learning Interpretability Methods
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Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System
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Adaptive Hierarchical Density-Based Spatial Clustering Algorithm for Streaming Applications
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Improved Fault Detection Method based on HSMM
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Explainable AI for predictive maintenance: A review and standardized evaluation framework
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