anomaly-detection

Documents about anomaly-detection

• Interpretable Stress Detection from ECG Signals Using Motif-Based Anomaly Analysis#1036862arXiv (All)
• Anomaly Detection Technologies for Dementia Care: Monitoring Goals, Sensor Applications, and Trade-offs in Home-Based Solutions-A Narrative Review.#13780NCBI PubMed Central
• Toward accurate fused deposition modeling 3D printer fault detection using improved YOLOv8 with hyperparameter optimization#1042815Animo Repository
• A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems#199671OpenAlex
• Intrusion detection system for automotive Controller Area Network (CAN) bus system: a review#200921OpenAlex
• Cascaded Semantic-Guided Network for Surface Anomaly Localization in Steel-Cased Batteries#374720IRIS
• Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems#16723Semantic Scholar
• Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning#138883arXiv CS
• Anomaly detection of fermi surface morphology in Co2MnGaxGe1-x via interpretable machine learning.#143166NCBI PubMed Central
• Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks#151785arXiv CS
• CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification#160715arXiv CS
• Towards LLM Accelerated Rapid Reviews for Software Tool Discovery -- Case for Log Anomaly Detection#282868arXiv CS
• Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection#307065arXiv CS
• Privacy-Preserving Federated Deep Learning for Robust Anomaly Detection in Distributed Security Sensing Systems.#317913NCBI PubMed Central
• Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles#353081arXiv CS
• Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection#361435arXiv CS
• RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation#370332arXiv CS
• Anomaly detection as a tool for identifying cases of interest in postmortem toxicology.#469357NCBI PubMed Central
• From Noise to Signal: Improving Security Log Anomaly Detection Using LLMs with Endpoint-Specific Logs#471185arXiv CS
• CoMeT-Net: Consensus Memory Template Network for Real-time Traffic Anomaly Detection#609016arXiv (OAI Expanded)
• CoMeT-Net: Consensus Memory Template Network for Real-time Traffic Anomaly Detection#610078arXiv (All)
• Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring#622561arXiv CS
• An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data#639631arXiv CS
• Secure IIoT architecture with blockchain-enabled anomaly detection for water distribution cyber-physical systems.#659759NCBI PubMed Central
• GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection#660806arXiv CS
• Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection#684846Enlighten Publications
• Two-Tier Anomaly Detection for V2I Alerting on IoT Vehicle Counts: A Kuwait Corridor Benchmark.#785427NCBI PubMed Central
• InspectorGPT: A Comparative Reasoning Enhanced VLM for Comprehensive Industrial Anomaly Detection#796999arXiv (OAI Expanded)
• InspectorGPT: A Comparative Reasoning Enhanced VLM for Comprehensive Industrial Anomaly Detection#798412arXiv (All)
• Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection#799999arXiv (All)
• PL-SCEA: Reconfiguring Pretrained Attention for Few-Shot Industrial Anomaly Detection#926552arXiv (All)
• Hyperedge Anomaly Detection with Hypergraph Neural Network#971674arXiv (All)
• Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift#974252arXiv (All)
• A FRAMEWORK FOR DATASET GENERATION, ANOMALY DETECTION AND CYBERSECURITY IN INDUSTRIAL CYBER-PHYSICAL SYSTEMS#1040857Repositorio Institucional de la Universidad de Burgos (RIUBU)
• Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?#1043104arXiv CS
• Cybersecurity Anomaly Detection: AI and Ethereum Blockchain for a Secure and Tamperproof IoHT Data Management#20546DOAJ
• Implementasi Otentikasi Berbasis Risiko dan Deteksi Penipuan pada Platform E-Niaga SecureShop#344854Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
• A Platform for monitoring of security and audit events: a test case with windows systems#956083SU+ Digital Repository
• Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm#671975OpenAlex
• Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection#5990arXiv CS
• Unsupervised Anomaly Detection in Process-Complex Industrial Time Series: A Real-World Case Study#14029arXiv CS
• Data Engineering Patterns for Cross-System Reconciliation in Regulated Enterprises: Architecture, Anomaly Detection, and Governance#19089arXiv CS
• A Comparative Study of Anomaly Detection Techniques for IoT Security Using Adaptive Machine Learning for IoT Threats#133959Semantic Scholar
• A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories#153081arXiv (OAI)
• Optimization of hospital resource scheduling efficiency based on dynamic weighted distance anomaly detection algorithm.#227875NCBI PubMed Central
• Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach#234099Semantic Scholar
• A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks#271765arXiv CS
• A systematic review of anomaly detection in IoT security: towards quantum machine learning approach#339531Semantic Scholar
• A blockchain-secured 6G smartgrid framework for resilient renewable energy integration and intelligent anomaly detection.#380946NCBI PubMed Central
• Towards Model-based Run-time Cybersecurity: On Control-Flow Anomaly Detection, Attack Identification, and Hardware Monitoring#447879arXiv CS