anomaly-detection

Documents about anomaly-detection

• A blockchain-secured 6G smartgrid framework for resilient renewable energy integration and intelligent anomaly detection#196257Springer Nature OA
• PRA-TAM: prototype-regularised residual affinity maximisation for unsupervised graph anomaly detection#425890Springer Nature OA
• A Fuzzy approach for detecting anomalous behaviour in e-mail traffic#647882Research Online
• Interfacial regulation of Li-ion battery at high voltage operation through a multifunctional copolymer additive#261996HAL (France)
• Supplementary material for "Uncertainty-quantified, physics-informed TinyML for reliable real-time solar PV diagnostics"#376967Aperta
• AI-Based Anomaly Detection for Extreme Event Attribution: An Analysis of European Heatwaves#621167Springer Nature OA
• Security and privacy of communication protocols for collaborative and fully distributed Vehicular Ad-hoc Networks (VANETs)#195738HAL (France)
• A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems#200907OpenAlex
• An AI-Based Framework Combining Categorical Alarm and Continuous Data for Power Estimation and Anomaly Detection in Photovoltaic Systems#215416HAL (France)
• EGA: ensemble of graph autoencoder for unsupervised anomaly detection#223494Springer Nature OA
• Explainable digital twin–driven ensemble anomaly detection framework for cyber-physical infrastructure security#225377Springer Nature OA
• Exemplar-based comparative learning for visual anomaly detection under high feature diversity and spatial entropy#313479Springer Nature OA
• TransEdge: a lightweight transformer-based anomaly detection framework for edge devices#355764Springer Nature OA
• Robust reference curves generation for photovoltaic systems performance diagnosis using a data-driven approach#635355HAL (France)
• Trustworthy Artificial Intelligence for Real-Time Quality Assurance in Additive Manufacturing#823327LSU Digital Commons
• Adaptive machine learning models: Concepts for real-time financial fraud prevention in dynamic environments#976490OpenAlex
• Advancing Academic Integrity Through Intelligent Examination Oversight: A Comprehensive Framework Leveraging Deep Learning and Computer Vision for Next-Generation Automated Proctoring#190895Zenodo (CERN)
• Data Sheet 2_AI-Accelerated blockchain architecture for efficient and secure electronic healthcare record exchange.pdf#1038738Figshare
• Data Sheet 1_AI-Accelerated blockchain architecture for efficient and secure electronic healthcare record exchange.docx#1038739Figshare
• OCPP integrated artificial intelligence for forecasting scheduling and anomaly detection in city scale electric vehicle charging under urban tariffs#324021Springer Nature OA
• Anomaly detection in Internet of Things‑based healthcare using an AUC-optimized proximal SVM with clustering-guided differential evolution for hyperparameter tuning#372663Springer Nature OA
• IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study#623181arXiv (OAI Expanded)
• Using Clustering Techniques and MITRE ATT&CK Threat Interpretation to Detect Anomalies in Modbus/TCP for Industrial Control Systems#623667DigitalCommons@Kennesaw State University
• IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study#625454arXiv (All)
• TUOMO SIPOLA, JANNE ALATALO, MONIKA WOLFMAYR, AND TERO KOKKONEN, EDS., ARTIFICIAL INTELLIGENCE FOR SECURITY: ENHANCING PROTECTION IN A CHANGING WORLD, CHAM: SPRINGER NATURE, 2024, 307 P., ISBN 978- 3031574511#19957DOAJ
• Network intrusion anomaly detection based on BAS-SSAE and CNN-BiGRU-attention fusion model#309953Springer Nature OA
• Reproduction package — Internal erosion raises resistivity in freshwater embankment dams: a petrophysical polarity criterion and detection limits for resistivity monitoring#390554Zenodo (CERN)
• ZTXPlainaAI an explainable deep learning framework for encrypted traffic anomaly detection in Zero Trust Networks#145121Springer Nature OA
• Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods#292708OpenAlex
• A hybrid deep learning and data mining approach for interpretable anomaly detection in high-dimensional time-series data#477466Springer Nature OA
• Modelo Analítico para la Detección de Anomalías de Subsidios de Gas por Redes en Colombia#781842Repositorio Institucional Javeriano
• A Packet-Layer Capability Triad for Remote Operational Technology: A Candidate Compensating Control for Physically Exposed, Resource-Constrained Sites#383264Zenodo (CERN)
• Detection of Gravitational Anomaly at Low Acceleration from a Highest-quality Sample of 36 Wide Binaries with Accurate 3D Velocities#1048313arXiv (All)
• Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks#145125Springer Nature OA
• Generalization of LSTM and CNN autoencoders for anomaly detection across orthogonal and longitudinal turning / Ya-Jing Wu, Justin Kopp, Jens Zemke, Sebastian Götschel, Pascal Volke, Andreas Zabel, Sebastian Schibsdat, Jan Hendrik Dege, Frank Walther, Daniel Höche#921957Deutsche Nationalbibliothek
• Time-Series Forecasting and Emotion Transition Analysis of Social Media Sentiment During the July Movement in Bangladesh#355563OSF
• Attack Resilient Microgrid: Impact Characterisation, Online Anomaly Detection and Mitigation#350910Iowa State University Digital Repository
• Graph theory inspired anomaly detection at the LHC#612274eScholarship