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Deep Learning for Time Series Anomaly Detection: A Survey
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A Hybrid Deep Neural Network-Transformer Architecture for Consumer Price Index Forecasting: Integrating Non-Linear Feature Extraction with Multi-Head Attention Mechanisms
inferred← citeshttps://doi.org/10.1007/978-3-032-13657-2_9openalex-snapshot
Anomaly and Novelty Detection in Non-Stationary Time Series: Deep, Hybrid, and Federated Perspectives
inferred← citeshttps://doi.org/10.1007/978-3-032-13803-3_25openalex-snapshot
Real-Time Anomaly Detection in Big Data Streams with Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-15395-1_1openalex-snapshot
Harnessing Neural Networks for Outlier Detection: A Comparative Review
inferred← citeshttps://doi.org/10.1007/978-3-032-17216-7_5openalex-snapshot
Self-Attention as a Predictor of EEG Anomalies
inferred← citeshttps://doi.org/10.1007/978-3-032-18765-9_12openalex-snapshot
Approximate and Adaptive Methods for Inference Queries
inferred← citeshttps://doi.org/10.1007/978-3-032-21168-2_18openalex-snapshot
SimAECLR: A Contrastive Learning Approach with Autoencoder for ECG Signals Classification Under Limited Labeled Data
inferred← citeshttps://doi.org/10.1007/978-3-032-23871-9_10openalex-snapshot
FPGA-Based Anomaly Detection for Medical IoT: Trade-Offs Between Hls4ml and FINN
inferred← citeshttps://doi.org/10.1007/978-3-032-26927-0_4openalex-snapshot
Anomaly Detection in Backup Data on Cloud
inferred← citeshttps://doi.org/10.1007/978-3-032-28573-7_25openalex-snapshot
Enhanced Anomaly Detection in Smart Grid Metering with a Two-Stage Autoencoder and XGBoost Framework
inferred← citeshttps://doi.org/10.1007/978-3-032-28997-1_33openalex-snapshot
FIRE: Fuzzy Information for Reconstructing Events Fireteam Schedule Discovery by Hybrid AI
inferred← citeshttps://doi.org/10.1007/978-3-032-29292-6_4openalex-snapshot
Early Detection of Neurotoxicity in Neuronal Cultures via Unsupervised Anomaly Detection on MEA Spike Waveforms
inferred← citeshttps://doi.org/10.1007/978-3-032-30005-8_32openalex-snapshot
IMMUNE: Intelligent Model for Multi-layered Unsupervised Neural Evolution for Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-30573-2_9openalex-snapshot
Two-Stage Anomaly Analysis: Detection and Classification in Industrial Sensor Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-31404-8_38openalex-snapshot
CALAD: Channel-Aware Contrastive Learning for Multivariate Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-34377-2_11openalex-snapshot
Efficient Detection of Seasonal Bursts: Applications to Climate Time Series
inferred← citeshttps://doi.org/10.1007/978-3-032-34896-8_14openalex-snapshot
CODA: A Coordinate-Driven Autoencoder for Robust Multivariate Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-37274-1_10openalex-snapshot
Unsupervised Detection of False Data Injection Attacks in Nuclear Power Plant Time Series Using Generative Models
inferred← citeshttps://doi.org/10.1007/978-3-032-37654-1_1openalex-snapshot
Beyond a Single Perspective: Text Anomaly Detection with Multi-view Language Representations
inferred← citeshttps://doi.org/10.1007/978-3-032-37654-1_3openalex-snapshot
PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-37654-1_39openalex-snapshot
Contrast Slice Discovery on Sequential Data
inferred← citeshttps://doi.org/10.1007/978-3-032-38404-1_47openalex-snapshot
Persistence Diagram Features for Multivariate Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-0071-9_1openalex-snapshot
Haar Decomposition with Cross Attention for Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-1319-1_19openalex-snapshot
Feature Engineering for Real-Time Anomaly Isolation in Satellite Telemetry
inferred← citeshttps://doi.org/10.1007/978-981-92-2254-4_35openalex-snapshot
Rearch on KPI Anomaly Detection in 5G Private Network Based on LSTM
inferred← citeshttps://doi.org/10.1007/978-981-92-3015-0_15openalex-snapshot
Knowledge Graph–Augmented Reasoning for Robust Multi-modal Document Attack Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-3423-3_31openalex-snapshot
CRA-Fuse: Complementary Reconstruction-Association Fusion for Industrial Multivariate Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-3450-9_19openalex-snapshot
TF-ConvAD: Decomposition-based Temporal-Frequency Representation Learning for Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-0129-8_17openalex-snapshot
High-Dimensional Time Series Anomaly Detection Method Based on Multimodal Hypergraph Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1007/978-981-95-1581-3_20openalex-snapshot
HADN: A Hybrid Anomaly Detection Method for Non-uniform Multivariate Time Series
inferred← citeshttps://doi.org/10.1007/978-981-95-3453-1_9openalex-snapshot
Federated Spatio-Temporal Attention for Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-95-4100-3_33openalex-snapshot
Minimum Pooling Ensemble of Reconstructive Reservoir Computing for Enhancing Anomaly Detection Performance
inferred← citeshttps://doi.org/10.1007/978-981-95-4966-5_19openalex-snapshot
Time Series Anomaly Detection and Visual Analysis Method Based on Multi-Scale Fusion
inferred← citeshttps://doi.org/10.1007/978-981-96-4606-7_11openalex-snapshot
Real-Time Monitoring and Anomaly Detection in Server Lab Environments Using ESP32 DevKit and VAE-Bi-LSTM Hybrid Model: A Case Study at HUFLIT University, Ho Chi Minh City
inferred← citeshttps://doi.org/10.1007/978-981-96-9048-0_24openalex-snapshot
Enhanced Anomaly Detection in Time-Series Data: A Comparative Study of Univariate Approach with Transformer and LLM Methods
inferred← citeshttps://doi.org/10.1007/978-981-96-9849-3_29openalex-snapshot
Contrastive Learning for Robust Time Series Anomaly Detection in Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1007/978-981-96-9881-3_40openalex-snapshot
HAMAMBA: Hierarchical Adaptive Mixtures of Attention with Mamba for Robust Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-96-9921-6_23openalex-snapshot
Multi-Scale Laplace Method for Unsupervised Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1007/s00429-026-03118-4openalex-snapshot
Automated interictal epileptic spike detection from simple and noisy annotations in MEG data
inferred← citeshttps://doi.org/10.1007/s00521-025-11408-xopenalex-snapshot
Efficient few-shot human activity recognition via meta-learning and data augmentation
inferred← citeshttps://doi.org/10.1007/s10115-025-02572-6openalex-snapshot
Few-shot anomaly detection and classification through reinforced data selection with a combinatorial reward
inferred← citeshttps://doi.org/10.1007/s10207-026-01330-1openalex-snapshot
Towards Deployable Anomaly Detection in industrial CPS/ICS: A Survey and Deployability Assessment
inferred← citeshttps://doi.org/10.1007/s10462-025-11371-yopenalex-snapshot
Neural network-based prediction of SMTP errors and bounces in cold emailing: a comparative study of GRU, CNN, and TCN
inferred← citeshttps://doi.org/10.1007/s10462-025-11401-9openalex-snapshot
Deep learning for multivariate time series anomaly detection: an evaluation of reconstruction-based methods
inferred← citeshttps://doi.org/10.1007/s10489-025-06589-wopenalex-snapshot
Leveraging subdomain alignment for enhanced anomaly detection in time series
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VAHMSE: an efficient anomaly detection model based on variational autoencoder and heterogeneous multi-stacking ensemble learning
inferred← citeshttps://doi.org/10.1007/s10489-025-06927-yopenalex-snapshot
SAE-GAN: integrating stacked attention autoencoder and generative adversarial networks for multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1007/s10499-025-02104-7openalex-snapshot
Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder
inferred← citeshttps://doi.org/10.1007/s10586-025-05772-5openalex-snapshot
GRU contrast discrepancy-based anomaly detection for multi-sensor signals from temporal and spatial perspectives
inferred← citeshttps://doi.org/10.1007/s10586-026-06098-6openalex-snapshot
Resource-efficient anomaly detection in social media accounts using lightweight LLM models: a review of methods, challenges, and future trends
inferred← citeshttps://doi.org/10.1007/s10586-026-06635-3openalex-snapshot
GCAT: a graph-convolutional adversarial transformer for multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1007/s10614-024-10582-9openalex-snapshot
Multi-Scale Event Detection in Financial Time Series
inferred← citeshttps://doi.org/10.1007/s10614-025-11274-8openalex-snapshot
AI-Driven Anomaly Detection in Stock Markets: Testing Market Efficiency with Machine Learning
inferred← citeshttps://doi.org/10.1007/s10845-026-02813-7openalex-snapshot
Regional adaptive moving average for robust anomaly detection in wiring harness manufacturing
inferred← citeshttps://doi.org/10.1007/s10845-026-02934-zopenalex-snapshot
Knowledge-intensive detection framework for unsupervised lack of fusion monitoring in wire-arc additive manufacturing via an acoustic-electric-coupled operator learning
inferred← citeshttps://doi.org/10.1007/s10994-026-07134-7openalex-snapshot
SPIRAL: A Novel Time Series to Image (TS2I) Transformation Method for Vision-Based Anomaly Detection
inferred← citeshttps://doi.org/10.1007/s10994-026-07183-yopenalex-snapshot
Addressing Methodological Challenges in Time Series Anomaly Detection
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Parallel heterogeneous graph learning based internet of things multivariate time series anomaly detection and explanation via cross-channel feature fusion
inferred← citeshttps://doi.org/10.1007/s11227-026-08257-3openalex-snapshot
Dgaad: a novel attention-based model for HPC anomaly detection
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Toward robust anomaly detection in noisy time series via diffusion-driven denoising and disentanglement
inferred← citeshttps://doi.org/10.1007/s11227-026-08556-9openalex-snapshot
Assessing the strength of machine learning and deep learning models for network anomaly detection: insights from multi-dataset cybersecurity analysis
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Dual-PSCP: dual-branch time-series anomaly detection via probabilistic sparse attention and composite prior distributions
inferred← citeshttps://doi.org/10.1007/s11227-026-08885-9openalex-snapshot
CycleSDE-AD: a score-based SDE framework for missing-robust anomaly detection in industrial air compressor time series
inferred← citeshttps://doi.org/10.1007/s11334-026-00631-xopenalex-snapshot
Hybrid deep learning strategies for robust launch vehicle data analysis and anomaly detection
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A supervised AI-based toolchain for anomaly detection, diagnosis, and reconfiguration for the life-support system of the COLUMBUS module of the ISS
inferred← citeshttps://doi.org/10.1007/s13042-026-03057-wopenalex-snapshot
Multivariate time series anomaly detection for over-reconstruction of anomalous data
inferred← citeshttps://doi.org/10.1007/s13042-026-03163-9openalex-snapshot
VPGM: variable perturbation adversarial sample generation method for time-series-based industrial anomaly detection system
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Wavelet-enhanced Mamba and graph network-based model for time series anomaly detection
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A comparative study of deep learning models for welding process analysis using sequential models
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Temporal-Spatial Anomaly Detection in Multivariate Time Series via Image Encoding and Self-Supervised Learning
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A time–frequency contrastive learning model for anomaly detection in multivariate time series
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Tighten the lasso: a convex hull volume-based anomaly detection method
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Retrieving unusual temporal trends effectively and efficiently with trend surfing
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KI-Unterstützung zur Verarbeitung von Text- und Umweltdaten in der Gefährdungsbeurteilung
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Side-channel attacks on convolutional neural networks based on the hybrid attention mechanism
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Time series classification using a hybrid feature space generation method
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A novel anomaly detection method for multivariate time series based on spatial-temporal graph learning
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ST-CATrust: multidimensional trust fusion evaluation via spatio-temporal graph neural network
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SIGMA-AD: spatio-temporal integrated graph Mamba architecture for multivariate time-series anomaly detection
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Applications of anomaly detection algorithms in identifying abnormal events
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From anomaly detection to classification with graph attention and transformer for multivariate time series
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Span entropy: A novel time series complexity measurement with a redesigned phase space reconstruction
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Rethinking driving style recognition: A prediction error-based method
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CVS-MSFE: Environment-aware anomaly identification for deformation monitoring data from cracked concrete dams using causal variable screening and multiscale feature extraction
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MANPREDIC: A successful case study in predictive maintenance for ground vehicles in the Spanish army
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A model fine-tuning approach for robust anomaly detection and isolation in multi-sensor system of nuclear power plants
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A 5G-enabled edge–cloud collaborative framework for anomaly detection in industrial compressor PLC data
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Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model
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Enhancing engineering time series forecasting: An uncertainty-calibrated feature modulation framework for robust multi-step ahead predictions
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Optimized resource management in containerized clouds via Hierarchical Autoregressive Network based workload prediction
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An unsupervised framework for drift-aware anomaly detection in streaming time series
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TSCAD: Temporality-spectrum collective transformer for multivariate time series anomaly detection
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Efficiently identifying anomalies in noisy artificial intelligence of things multivariate time series: a self-supervised contrastive learning framework
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Representation stability is not detectability: A leakage-free evaluation of frozen time series foundation models for anomaly detection under concept drift
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Prediction-based strategies for robust near real-time GPS signal anomaly detection on a global scale
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Machine learning techniques for detecting anomalies in ADS-B data in the context of low altitude aviation
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Research on modeling of the imbalanced fraudulent transaction detection problem based on embedding-aware conditional GAN
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Knowledge-fusion data augmentation for cigarette time series anomalies
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Harnessing machine learning to decode and optimize bioelectrochemical systems: Principles, progress and future directions
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GAT-AD: Graph Attention Networks for contextual anomaly detection in network monitoring
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TranDA: Behavior traceable anomaly detection and attribution for 5G control plane via message sequence analysis
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Automated batch distillation process simulation for a large hybrid dataset for deep anomaly detection
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Deep anomaly detection for time series: A survey
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A survey of transformer networks for time series forecasting
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Lag-informed thermal response modeling for uncertainty-aware bridge girder-end displacement anomaly detection: A field case study
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Source-Free Domain Adaptation with complex distribution considerations for time series data
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Operation state division of switching devices based on attention-advanced feature fusion and Bayesian detection
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Cloud-assisted high-Sulfur fuel monitoring for connected heavy-duty vehicles based on transformer neural network
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IoT-Enabled Real-Time Energy Consumption Anomaly Detection and Diagnosis for Automotive Paint Drying System
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Automated financial time series anomaly detection via curiosity-guided exploration and self-imitation learning
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Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance
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Three-dimensional ultrasonic self supervised segmentation
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A structure-aware routing based anomaly detection for industrial multi-sensor time series
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A risk assessment framework for online transactions via Graph Neural Networks and efficient probabilistic prediction
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A dual-branch multi-scale encoding and fusion model for multivariate time series forecasting
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Antinoise Adaptive Time–Frequency Fusion for multivariate time series anomaly detection
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Hard constraints and soft learning dual-graph anomaly detection for industrial processes
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Multi-scale hierarchical causality-inspired graph network for interpretable anomaly detection in industrial time series
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Deep learning for anomaly detection in railway systems: A structured survey
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A physics-aware time-frequency autoencoder for anomaly detection in heavy-haul railway communications
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An online intrusion detection system for photovoltaic generators through physics-based neural networks
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Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods
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Graph-enhanced anomaly detection framework in multivariate time series using Graph Attention and Enhanced Generative Adversarial Networks
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An expert-aware Markovian system for end-user proactive troubleshooting in the Network and Security Operations Center
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Outbreak Monitoring: Epidemic Surveillance through Anomaly Detection on Zero-shot News Classification
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Realistic detection and prediction of autonomic nervous system anomalies: A hybrid deep learning framework with multiple optical fiber sensor fusion
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Pre-trained conditional encoding guided diffusion for time series anomaly detection
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A novel end-to-end unsupervised anomaly detection method for scenarios with continuous missing values
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An interpretable causality- and topology-aware multi-expert system for network flow anomaly detection
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MSDS-Net: A Mechanism-Constrained Structured Disturbance Separation Network for Anomaly Detection in Zinc Alloy Melting Process
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Toward green edge security: Adaptive IoT anomaly detection with a hybrid CNN-Transformer model
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An analytics framework for graph-based anomaly detection in healthcare time series
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Hierarchical deep Q-network for anomaly detection and interpretation in multidimensional time-series physical fitness data
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Graph spatiotemporal process for multivariate time series anomaly detection with missing values
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Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining
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Towards collaborative and privacy-preserving industrial time-series anomaly detection with federated learning: A systematic review
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GLPT: Global-local pyramid transformer for multivariate time series forecasting
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MultiCIDS: Anomaly-based collective intrusion detection by deep learning on IoT/CPS multivariate time series
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Community-based model sharing and generalisation: Anomaly detection in IoT temperature sensor networks
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TAME: Topological Anomaly detection in Multivariate timE series
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CSCAD: Modeling cross-scale sequence correlations for multivariate time series anomaly detection
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TFCAD: Time–Frequency Causal Anomaly Detection for Multivariate Time Series
inferred← citeshttps://doi.org/10.1016/j.irfa.2026.105334openalex-snapshot
To what extent does monetary policy uncertainty affect inflation forecasting?
inferred← citeshttps://doi.org/10.1016/j.is.2025.102524openalex-snapshot
Scalable and accurate online multivariate anomaly detection
inferred← citeshttps://doi.org/10.1016/j.jajp.2025.100368openalex-snapshot
Quality assurance of clinched joints using explainable machine learning
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A survey of integrated multi-layer security for continuous-process industrial control systems: Insights from a steel manufacturing sector
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Towards a reliability-aware virtual sensor framework for smart water infrastructure: An offline residual-based change-point analysis
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Process mining-driven modeling and simulation to enhance fault diagnosis in cyber–physical systems
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Mixer-transformer: Adaptive anomaly detection with multivariate time series
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Slow–fast dynamics-assisted Koopman network for anomaly detection in non-stationary industrial processes with time-lagged variables
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Multivariate anomaly detection for industrial process systems via knowledge-constrained semantic learning
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Inferring human discomfort and its underlying causes from gait trajectories through anomaly detection in response to environmental factors on pedestrian paths
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113867openalex-snapshot
A unified cross-source context enhancement model for multi-source fake news detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114275openalex-snapshot
MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114800openalex-snapshot
Time series anomaly detection based on enhanced anomaly simulation and triplet contrastive knowledge base
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116409openalex-snapshot
Memory-guided diffusion framework for pose-based Video Anomaly Detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116955openalex-snapshot
PAMA: Dual-memory augmentation assisted pseudo-anomaly contrastive learning for multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.117110openalex-snapshot
AMAD: AutoMasked Attention for unsupervised multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.116518openalex-snapshot
SDS-YOLO: An improved vibratory position detection algorithm based on YOLOv11
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.119120openalex-snapshot
Humidity-resistant optical fiber gas sensor at room temperature: a potential method for anomaly detection
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.120229openalex-snapshot
Method for diagnosing gamma radiation faults in digital circuits of optical encoders using AFSC-transformer
inferred← citeshttps://doi.org/10.1016/j.mlwa.2025.100784openalex-snapshot
Unsupervised detection of faults in industrial pumps from multivariate time series
inferred← citeshttps://doi.org/10.1016/j.net.2023.11.033openalex-snapshot
Robust transformer-based anomaly detection for nuclear power data using maximum correntropy criterion
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129887openalex-snapshot
MAD-DGTD: Multivariate time series Anomaly Detection based on Dynamic Graph structure learning with Time Delay
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132286openalex-snapshot
Spatio-temporal fusion flow with dynamic graph learning for unsupervised multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132333openalex-snapshot
Toward more generalizable time-series outlier detection in large-volume manufacturing via contextual convolution
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132383openalex-snapshot
A review of deep learning based anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132954openalex-snapshot
MAD-TCN: Time series anomaly detection via multi-scale adaptive dependency temporal convolutional network
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133256openalex-snapshot
A dynamic multi-scale spatio-temporal fusion anomaly detection network
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134154openalex-snapshot
TSADmetrics: A library for evaluating time series anomaly detection methods
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107903openalex-snapshot
MultiverseAD: Enhancing spatial-temporal synchronous attention networks with causal knowledge for multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108370openalex-snapshot
Iterative feedback-based time-series anomaly detection with adaptive diffusion models
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108532openalex-snapshot
Angel or devil: Discriminating hard samples and anomaly contaminations for unsupervised time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108568openalex-snapshot
An online forecasting-based fine-tuning pipeline for time-series anomaly prediction
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108731openalex-snapshot
Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108949openalex-snapshot
Dynamic expandable framework for incremental anomaly detection
inferred← citeshttps://doi.org/10.1016/j.nucengdes.2025.114243openalex-snapshot
An adaptive statistical model of nuclear rods temperature for the detection of total and instantaneous blockage
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2026.125071openalex-snapshot
Detecting anomalous behaviors in maritime vessel groups from radar images using a novel algorithm: Collective behavior inspired predictive algorithm (CeBiPA)
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110874openalex-snapshot
CARLA: Self-supervised contrastive representation learning for time series anomaly detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111699openalex-snapshot
Unsupervised anomaly detection with a temporal continuation, confidence-aware VAE-GAN
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113924openalex-snapshot
DITAU-Net: Dual-Interactive Temporal Convolution with Adversarial and U-shaped Autoencoders for Multivariate Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114212openalex-snapshot
Uncertainty-aware multi-modal time series anomaly detection via reduced-order evidence fusion
inferred← citeshttps://doi.org/10.1016/j.petsci.2026.08.029openalex-snapshot
Open-world anomaly detection for oil-well production systems under evolving operating conditions
inferred← citeshttps://doi.org/10.1016/j.physrep.2026.01.001openalex-snapshot
Predictability of complex systems
inferred← citeshttps://doi.org/10.1016/j.procir.2026.05.229openalex-snapshot
Tool-Independent Quality Prediction In Deep Drawing Using Matrix Profile Analysis
inferred← citeshttps://doi.org/10.1016/j.procs.2026.06.012openalex-snapshot
Research on the Application of Campus Network Log Analysis System based on Graylog
inferred← citeshttps://doi.org/10.1016/j.psep.2026.109642openalex-snapshot
HMADD: A Hybrid Metric-based Integrated Framework for Anomaly Detection and Fault Identification in Multivariate Time Series of Chemical Processes
inferred← citeshttps://doi.org/10.1016/j.rcim.2024.102940openalex-snapshot
Personalized federated unsupervised learning for nozzle condition monitoring using vibration sensors in additive manufacturing
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