anomaly-detection

Documents about anomaly-detection

• Triggering Discovery with Anomaly Detection at the Large Hadron Collider#692235PhilArchive
• Governing others: Anomaly and the algorithmic subject of security#477134OpenAlex
• GLANet: global and local anomaly network for distributed cyber threat detection using FL.#685907NCBI PubMed Central
• BLADE-MARITIME Governance Node: Authority-Governed Maritime Surveillance Node with Hydroacoustic, Magnetic Anomaly Detection, and Multi-Modal Sensor Fusion for Autonomous Maritime Threat Assessment#264456Zenodo (CERN)
• Performance Analysis of Deep Learning-Based Fusion of Sentinel-2 and MODIS Thermal Anomaly Data for Small-Scale Forest Fire Detection#11780DataCite
• Performance Analysis of Deep Learning-Based Fusion of Sentinel-2 and MODIS Thermal Anomaly Data for Small-Scale Forest Fire Detection#11781DataCite
• Benchmarking of Machine Learning for Anomaly Based Intrusion Detection Systems in the CICIDS2017 Dataset#199534OpenAlex
• IoT Anomaly Detection to Strengthen Cybersecurity in the Critical Infrastructure of Smart Cities#671889OpenAlex
• A VLM Answer Is Not an Anomaly Score: Rank Compression Across Image and Video Anomaly Detection#987795arXiv (All)
• Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining#120417arXiv CS
• Conditional anomaly detection with soft harmonic functions#126541arXiv CS
• Enhancing IoT Security: Optimizing Anomaly Detection through Machine Learning#207623Semantic Scholar
• Enhancing IoT Security through Machine Learning-Driven Anomaly Detection#328744Semantic Scholar
• Chain-Aware Encoding for Microservice Trace Anomaly Detection#363347arXiv CS
• Velocity-Guided Representation Learning for Time Series Anomaly Detection#416258Repositorio Institucional de la Universidad de Granada
• Generalist Graph Anomaly Detection via Prototype-Based Distillation#788756arXiv (OAI Expanded)
• Generalist Graph Anomaly Detection via Prototype-Based Distillation#792756arXiv (All)
• A Neuromorphic Approach towards Detection and Control of Features of Interest in Dynamical Systems#190524Research Repository UCD
• Machine Learning-Based Intrusion Detection Systems for Enhancing Network Security#402299HAL (France)
• Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping#985507arXiv (All)
• Anomaly Detection in IEC-61850 GOOSE Networks: Evaluating Unsupervised and Temporal Learning for Real-Time Intrusion Detection#18971arXiv CS
• A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection.#288978NCBI PubMed Central
• An efficient method for network traffic anomaly detection based on SHAP and deep learning.#610543NCBI PubMed Central
• A quantum multi-sensor data fusion self-supervised learning framework for IIoT anomaly detection.#685908NCBI PubMed Central
• Examination of Anomaly Process Detection Using Negative Selection Algorithm and Classification Techniques#72742PhilArchive
• Enhancing Multi-Cloud Security with Quantum-Resilient AI for Anomaly Detection#92412PhilArchive
• Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation#120568arXiv CS
• MSCENet: A Multi-Scale Correlation Enhanced Network for Anomaly Detection#346458arXiv CS
• Physical synchronisation for anomaly detection in epidemic blockchain consensus#368895Spiral
• Improving Network Anomaly Detection via Choquet-Integral-Based Feature Aggregation#381701arXiv CS
• Exploring Block Anomaly Detection In HDFS Log Data Analysis#422223arXiv CS
• FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection#965354arXiv CS
• LLM-Generated Feature Pools for Time Series Anomaly Detection#1006897arXiv CS
• Unsupervised Statistical Models for Anomaly Detection in Industrial Natural Gas Consumption with Synthetic Data#313196Repositorio institucional Séneca
• Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.#1427NCBI PubMed Central
• Unsupervised visual anomaly detection in genuine industrial production environments#124443HAL (France)
• A hybrid spiking convolutional neural framework with extreme learning machine for enhanced anomaly detection in network security.#214244NCBI PubMed Central
• Federated Anomaly Detection for IoT-Enabled EV Charging Cybersecurity Under Aggressive and Stealth Cyberattacks.#796677NCBI PubMed Central
• CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations#13075arXiv CS
• AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving#19041arXiv CS
• DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs#123986arXiv CS
• Anomaly detection in IoT-based healthcare: machine learning for enhanced security#133956Semantic Scholar
• Conditional anomaly detection methods for patient-management alert systems#175257arXiv CS
• Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark#224502arXiv CS
• NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting#259385arXiv CS
• Machine Learning-Powered Anomaly Detection: Enhancing Data Security and Integrity#328753Semantic Scholar
• Graph neural networks based log anomaly detection and explanation.#342574NCBI PubMed Central
• Deep Learning for Anomaly Detection in Railway Systems: A Structured Survey#478681HAL (France)
• Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection#618562arXiv CS
• LUMIN: Lightweight Universal Manufacturing Inspection Network for Anomaly Detection#971444arXiv (All)