anomaly-detection

Documents about anomaly-detection

• Benchmark AUC Is Not Deployable Reliability: A Cross-Dataset Audit of Off-the-Shelf Features for Surveillance Video Anomaly Detection#321760arXiv CS
• Federated learning and edge computing-based collaborative detection system for IoT anomaly behavior#474086Springer Nature OA
• Anomaly detection based on ensemble machine learning model — Splunk Inc. (US12438891B1)#607040Google Patents
• SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture#797228arXiv (OAI Expanded)
• SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture#798642arXiv (All)
• A High-Fidelity Multi-Model Benchmark Dataset for General Aviation Anomaly Detection Generated via Physics-Based Fault Injection.#823576NCBI PubMed Central
• GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection#972191arXiv (All)
• AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization#986138arXiv (All)
• Detection of different types of distributed denial of service attacks using multiple features of entropy and sequential probability ratio test#431931Universiti Putra Malaysia Institutional Repository
• HyMSS-GAD: a hybrid multi-stage framework for multi-view graph anomaly detection with structural, contextual, and geometric reasoning.#13805NCBI PubMed Central
• Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets#204727arXiv CS
• FAPAD: a federated aggregation optimization-based privacy-preserving anomaly detection framework for time series#302496Springer Nature OA
• OCPP integrated artificial intelligence for forecasting scheduling and anomaly detection in city scale electric vehicle charging under urban tariffs.#326932NCBI PubMed Central
• Comparative Analysis of Data Mining Techniques for Customer Segmentation and Anomaly Detection#624461Figshare
• A Digital-Twin-Enabled Resilience Framework (DTERF) for Machine-Learning-Based Anomaly Detection in High-PV Cyber–Physical Smart Grids#631704Repositorio USS
• The impact of Sensing Parameters on Vibration Anomaly Detection Using Tiny DNNs#923121IRIS
• Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and Segmentation#1012089arXiv (All)
• NeuCoReClass AD: Redefining self-supervised time series anomaly detection.#1054780PubMed
• MACHINE LEARNING APPROACHES FOR FRAUD DETECTION IN FINANCIAL NETWORKS#28968DataCite
• MACHINE LEARNING APPROACHES FOR FRAUD DETECTION IN FINANCIAL NETWORKS#28969DataCite
• ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects#925750arXiv (All)
• Enhancing Computer Vision Model Generalization in Warehouse Facilities: A Case Study on Anomaly Detection in Vertical Material Handling Systems#1011118arXiv (All)
• LLM-Generated Feature Pools for Time Series Anomaly Detection#1036190arXiv (All)
• Clustering-Based Collective Anomaly Detection in IoT Systems: A Graph Neural Network Approach#1036849arXiv (All)
• Contributions to computer vision and machine learning for safe, high-throughput, and non-destructive seed quality analysis and phenotyping#374494HAL (France)
• Characterisation of Anomalous Behaviour for Security in Deep-Edge Wireless Systems : Applied Machine Learning From On-Device Jamming Detection to Collaborative Intelligence#226955HAL (France)
• Federated deep reinforcement learning with transformer-based anomaly detection for cybersecurity in next-generation agricultural IoT networks#313477Springer Nature OA
• Intelligent Road Anomaly Detection with Real-time Notification System for Enhanced Road Safety#789432arXiv (OAI Expanded)
• Intelligent Road Anomaly Detection with Real-time Notification System for Enhanced Road Safety#793436arXiv (All)
• Auditing Frozen-Encoder Anomaly Detection Across Mechanical Systems: Representation Provenance, Calibration, and Protocol Effects#820332arXiv (All)
• Residual-loss Anomaly Analysis of Physics-Informed Neural Networks: An Inverse Method for Change-point Detection in Nonlinear Dynamical Systems with Regime Switching#141485arXiv CS
• State estimation under false data injection attacks: Security analysis and system protection#199602OpenAlex
• GLANet: global and local anomaly network for distributed cyber threat detection using FL#299187Springer Nature OA
• Bayesian Conditional GAN for Unsupervised Anomaly Detection in Structural Health Monitoring Time-Series Dataset#454174Dbt
• A post-quantum verified self-healing framework for healthcare IoT systems: deep anomaly detection, severity estimation and risk-aware rollback to trusted checkpoints.#678540NCBI PubMed Central
• DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection#682416arXiv (OAI Expanded)
• DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection#684191arXiv (All)
• Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring#809109arXiv (OAI Expanded)
• Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring#819101arXiv (All)
• Analisis dan Mitigasi Serangan Distributed Denial of Service (DDoS) Menggunakan Metode Machine Learning Berbasis Deteksi Anomali#965881Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
• Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images#1000402arXiv (All)
• RoboVAD: A Large Cross-Domain Evaluation Benchmark for Anomaly Detection in Robotic Arm Manipulation Videos#1011558arXiv (All)
• A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks#199681OpenAlex
• RT: resilient transformation for anomaly detection in heteroscedastic time series#309961Springer Nature OA
• Extended Research Methodology and Findings on Dynamic Relationships between Stock and Foreign Exchange Markets - Supplementary Material#348550RepOD Dataverse OAI Archive
• An accumulation method for early fault warning and its application to wind turbine systems#495495OSTI.gov
• Towards maintainable AI-driven network anomaly and threat detection: a comparative analysis of datasets, preprocessing techniques, and model trade-offs#428746Springer Nature OA
• AI-Driven Compliance Intelligence: A Conceptual Framework for Enterprise Financial Governance#613828Zenodo (CERN)
• Multiclass Flow-Based Network Anomaly Detection under Severe Class Imbalance: A Comparative Study and Inference Prototype#680873Springer Nature OA
• Assessing the strength of machine learning and deep learning models for network anomaly detection: insights from multi-dataset cybersecurity analysis#159390Springer Nature OA