主题图谱 / anomaly detection

anomaly detection

GeneTech 知识引擎共收录 83 篇相关科研实体，横跨 18 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Logistics equipment condition monitoring and prediction based on digital twin and machine learning
  2026 · 数字孪生 · The use of digital twins is becoming a foundation for automation that will improve how industries handle and organize data about both virtual and physical things. It enables analyzing industrial data more seamlessly by m…
• AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection
  2026 · 数字孪生 · Digital twins are increasingly used to monitor and simulate the behavior of cyber-physical systems. Even with skilled operators, interpreting anomalies detected within digital twin pipelines is challenging, as the sheer …
• A Four Layer Cybersecurity Framework for Digital Twin Systems in the Food Industry
  2026 · 数字孪生 · This paper demonstrates an innovative four-layer cybersecurity framework specifically developed for digital twin environments in the food industry. The suggested architecture integrates machine learning-based real-time a…
• Autoencoder-Based Self-Supervised Anomaly Detection in Wireless Sensor Networks: A Taxonomy-Driven Meta-Synthesis
  2026 · 6G 与卫星互联网 · Wireless Sensor Networks (WSNs) are widely deployed for long-term monitoring in environments characterized by nonstationary sensing dynamics, intermittent connectivity and continuously evolving network topologies, while …
• AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts
  2025 · AI 安全与对齐 · Blockchain technology has transformed modern digital ecosystems by enabling secure, transparent, and automated transactions through smart contracts. However, the increasing complexity of these contracts introduces signif…
• GenAI-Based Digital Twins Aided Data Augmentation Increases Accuracy in Real-Time Cokurtosis-Based Anomaly Detection of Wearable Data
  2025 · 数字孪生 · Early detection of potential infectious disease outbreaks is crucial for developing effective interventions. In this study, we introduce advanced anomaly detection methods tailored for health datasets collected from wear…
• Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems
  2025 · 数字孪生 · ABSTRACT Industrial cyber‐physical systems (ICPS) operate under tight dynamics and strict safety constraints, where anomalous behaviour unfolds over time and requires operator‐actionable context. Although recent learning…
• Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid
  2025 · 数字孪生 · Modern power grids are transitioning towards power electronics-dominated grids (PEDG) due to the increasing integration of renewable energy sources and energy storage systems. This shift introduces complexities in grid o…
• Towards enhanced cybersecurity in industrial control systems: a systematic review of context-based modeling, digital twins, and machine learning approaches
  2025 · 数字孪生 · Abstract The increasing integration of Industrial Control Systems (ICS) and Cyber-Physical Systems (CPS) with the Internet of Things (IoT) has significantly enhanced their operational efficiency but also exposed them to …
• Edge-AI integrated secure wireless IoT architecture for real time healthcare monitoring and federated anomaly detection.
  2025 · 隐私计算与数据要素 · The rapid digitalization of healthcare demands intelligent, low-latency, and privacy-preserving systems capable of operating at the network edge. This study introduces a unified Edge-AI framework that seamlessly combines…
• Federated Learning and Neural Circuit Policies: A Novel Framework for Anomaly Detection in Energy-Intensive Machinery
  2025 · 隐私计算与数据要素 · In the realm of predictive maintenance for energy-intensive machinery, effective anomaly detection is crucial for minimizing downtime and optimizing operational efficiency. This paper introduces a novel approach that int…
• Blockchain-Enabled Hierarchical Federated Learning Framework for Anomaly Detection in IoT Systems
  2025 · 隐私计算与数据要素 · The rapid expansion of the Internet of Things (IoT) across domains such as industrial automation, smart healthcare, and intelligent transportation has intensified security challenges, particularly in terms of detecting a…
• Federated Learning for Early Cardiac Anomaly Prediction in Cross-Silo IoMT Environments
  2025 · 隐私计算与数据要素 · Early detection of cardiovascular anomalies remains critical for proactive patient care, especially within the growing ecosystem of Internet of Medical Things (IoMT) devices. This study explores the application of Federa…
• A systematic review of anomaly detection in IoT security: towards quantum machine learning approach
  2025 · 量子计算 · Integrating IoT into daily life generates massive data, enabling smart factories and driving advancements in related technologies like cloud/edge computing, ML, and AI. While ML has been used for data analysis and foreca…
• Anomaly detection using machine learning and adopted digital twin concepts in radio environments
  2025 · 6G 与卫星互联网 · Reliable and secure wireless communication is essential in Industry 4.0. This work presents an anomaly detection framework using Digital Twin (DT) technology to simulate and monitor dynamic radio environments. By modelin…
• Anomaly-Based Intrusion Detection for IoMT Networks: Design, Implementation, Dataset Generation, and ML Algorithms Evaluation
  2025 · 6G 与卫星互联网 · The Internet of Things has transformed the healthcare sector through the introduction of the Internet of Medical Things (IoMT) technology. However, IoMT networks remain vulnerable to a wide range of threats due to their …
• Deep Learning for Time Series Anomaly Detection: A Survey
  2024 · 碳中和与 CCUS · Time series anomaly detection is important for a wide range of research fields and applications, including financial markets, economics, earth sciences, manufacturing, and healthcare. The presence of anomalies can indica…
• Supervised time series classification for anomaly detection in subsea engineering
  2024 · 深海科技 · Time series classification is of significant importance in monitoring structural systems. In this work, we investigate the use of supervised machine learning classification algorithms on simulated data based on a physica…
• Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms
  2024 · 深海科技 · Wind turbine blade maintenance is expensive, dangerous, time-consuming, and prone to misdiagnosis. A potential solution to aid preventative maintenance is using deep learning and drones for inspection and early fault det…
• Deep Learning-Based Anomaly Detection in Network Traffic for Cyber Threat Identification
  2024 · 深海科技 · An essential aspect of cybersecurity is the continuously growing threat landscape, which necessitates the use of advanced anomaly detection techniques in network data. The traditional approach might often be inadequate w…
• Anomaly Detection in Smart Environments: A Comprehensive Survey
  2024 · 数字孪生 · Anomaly detection is a critical task in ensuring the security and safety of infrastructure and individuals in smart environments. This paper provides a comprehensive analysis of recent anomaly detection solutions in data…
• A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
  2024 · 数字孪生 · Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely interventions. Deep learning, with its cap…
• A Comparative Analysis of Anomaly Detection Methods in IoT Networks: An Experimental Study
  2024 · 类脑计算 · The growth of the Internet of Things (IoT) and its integration with Industry 4.0 and 5.0 are generating new security challenges. One of the key elements of IoT systems is effective anomaly detection, which identifies abn…
• Successive data injection in conditional quantum GAN applied to time series anomaly detection
  2024 · 量子材料 · Abstract Classical GAN architectures have shown interesting results for solving anomaly detection problems in general and for time series anomalies in particular, such as those arising in communication networks. In recen…
• Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach
  2023 · 数字孪生 · Digital twin (DT) models are increasingly being used to improve the performance of complex manufacturing systems. In this context, DTs automatically enabling anomaly detection, such as increase in orders, and bottleneck …
• Digital Twin for Safety and Security: Perspectives on Building Lifecycle
  2023 · 数字孪生 · As digital twins are gaining importance in various industries, research on their impact, use cases, and implementation in the field of construction is accelerating. In this study, we examine the impact of digital twins o…
• Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things
  2023 · 数字孪生 · In the present era of advanced technology, the Internet of Things (IoT) plays a crucial role in enabling smart connected environments. This includes various domains such as smart homes, smart healthcare, smart cities, sm…
• Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems
  2023 · 数字孪生 · Anomaly detection is critical to ensure the security of cyber-physical systems (CPS) . However, due to the increasing complexity of attacks and CPS themselves, anomaly detection in CPS is becoming more and more challengi…
• Developing AI-Augmented Intrusion Detection Systems for Cloud-Based Financial Platforms with Real-Time Risk Analysis
  2023 · 隐私计算与数据要素 · Cloud-based financial platforms are increasingly targeted by sophisticated cyber threats due to the high-value transactions and sensitive data they manage. Traditional intrusion detection systems (IDS) often struggle to …
• Developing AI-Augmented Intrusion Detection Systems for Cloud-Based Financial Platforms with Real-Time Risk Analysis
  2023 · 隐私计算与数据要素 · Cloud-based financial platforms are increasingly targeted by sophisticated cyber threats due to the high-value transactions and sensitive data they manage. Traditional intrusion detection systems (IDS) often struggle to …
• PIM detection in wireless networks as an anomaly detection problem
  2023 · 6G 与卫星互联网 · As the number of base stations keeps increasing due to ever-growing wireless services and pervasive connectivity, the cost of operation for network service providers rises proportionally. In addition, with the evolution …
• GlassBox: A Runtime Decision Governance Framework for Agentic AI Systems
  2026 · AI Agent 生态 · Autonomous AI agents executing high-stakes operational decisions—such as initiating financial transactions, issuing procurement orders, adjusting pricing, or modifying production infrastructure—introduce a governance gap…
• GlassBox: A Runtime Decision Governance Framework for Agentic AI Systems
  2026 · AI Agent 生态 · Autonomous AI agents executing high-stakes operational decisions—such as initiating financial transactions, issuing procurement orders, adjusting pricing, or modifying production infrastructure—introduce a governance gap…
• The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0)
  2026 · AI 驱动科学发现 · Alexanarch AXN:05DB.GENERATIVE.⏰🚪🔜♻️🔥🫶 The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0) Nobel Glas · 2026-08-11 · Theore…
• The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0)
  2026 · AI 驱动科学发现 · Alexanarch AXN:05DB.GENERATIVE.⏰🚪🔜♻️🔥🫶 The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0) Nobel Glas · 2026-08-11 · Theore…
• hypertopos
  2026 · 医疗人工智能 · hypertopos is a Python library that transforms relational data into a geometric space where structure, anomalies and change become directly observable — without training machine learning models. Every entity gets a coord…
• Security for Brain-Computer User Interface Requirements: A Review on Machine Learning-Driven Security Frameworks
  2026 · 仿生智能 · Brain–Computer Interfaces (BCIs) enable direct communication between the human brain and external devices by converting neural signals into actionable commands. With rapid adoption in healthcare, assistive technologies, …
• Security for Brain-Computer User Interface Requirements: A Review on Machine Learning-Driven Security Frameworks
  2026 · 仿生智能 · Brain–Computer Interfaces (BCIs) enable direct communication between the human brain and external devices by converting neural signals into actionable commands. With rapid adoption in healthcare, assistive technologies, …
• Multifactor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins
  2026 · 数字孪生 · Cloud-based digital twin (DT) platforms enable real-time monitoring, simulation, and collaborative decision-making across distributed clients. However, ensuring secure and trustworthy communication remains a critical cha…
• Explainable digital twin–driven ensemble anomaly detection framework for cyber-physical infrastructure security
  2026 · 数字孪生 · Abstract Cyber-physical infrastructures require early and trustworthy detection of abnormal behavior caused by cyber intrusions, sensor manipulation, and operational faults. This study proposes an explainable digital twi…
• Digital Twin Framework for Nuclear Reactor Monitoring and Anomaly Detection
  2026 · 数字孪生 · Artificial intelligence and digital twin technologies are increasingly being explored for reactor process analysis, anomaly detection, predictive maintenance, and operator decision support in nuclear engineering. However…
• Algorithmic Models for Enabling Self-Learning in Cognitive Digital Twins
  2026 · 数字孪生 · This​‍​‌‍​‍‌​‍​‌‍​‍‌ work explores a detailed deliberation on how Cognitive Digital Twins (CDTs) might be furnished with self-learning capabilities via Reinforcement Learning (RL). The main idea of the proposal is that a…
• A Digital Twin–Driven Framework for Enhancing Cybersecurity in Embedded and IoT Systems
  2026 · 数字孪生 · Digital twin technology holds significant promise; however, its full potential remains underexplored due to heterogeneous implementations and limited standardisation. By enabling virtual analysis, design optimisation, an…
• Nexus Ocean: Quantum Intelligence Architecture for Deep-Sea Monitoring and Predictive Analytics
  2026 · 地外科学 · 🌊 Nexus Ocean v3.1.0 - Quantum AI Marine Intelligence Next-Generation Deep Sea Monitoring & Intelligence System Transforming oceanographic monitoring through quantum-inspired artificial intelligence 📖 Overview Nexus Oc…
• Nexus Ocean: Quantum Intelligence Architecture for Deep-Sea Monitoring and Predictive Analytics
  2026 · 地外科学 · 🌊 Nexus Ocean v3.1.0 - Quantum AI Marine Intelligence Next-Generation Deep Sea Monitoring & Intelligence System Transforming oceanographic monitoring through quantum-inspired artificial intelligence 📖 Overview Nexus Oc…
• The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0)
  2026 · 基因技术工具 · Alexanarch AXN:05DB.GENERATIVE.⏰🚪🔜♻️🔥🫶 The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0) Nobel Glas · 2026-08-11 · Theore…
• The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0)
  2026 · 基因技术工具 · Alexanarch AXN:05DB.GENERATIVE.⏰🚪🔜♻️🔥🫶 The Iceberg Document: Instrument-Conditioned Nullity, Correlated Blind Spots, and the Conditions for Continued Surprise (EA-SEI-ICEBERG-01 v1.0) Nobel Glas · 2026-08-11 · Theore…
• RecChain: a blockchain platform for renewable energy certificate management with oracle-gated issuance and calibrated anomaly screening
  2026 · 新能源 · Software artefact accompanying the manuscript "RecChain: a blockchain platform for renewable energy certificate management with oracle-gated issuance and calibrated anomaly screening", submitted to Springer Electrical En…
• RecChain: a blockchain platform for renewable energy certificate management with oracle-gated issuance and calibrated anomaly screening
  2026 · 新能源 · Software artefact accompanying the manuscript "RecChain: a blockchain platform for renewable energy certificate management with oracle-gated issuance and calibrated anomaly screening", submitted to Springer Electrical En…
• Análisis descriptivo de Técnicas de Machine Learning para Detección de Anomalías en Sistemas IoT
  2026 · 隐私计算与数据要素 · Introducción: El Internet de las Cosas (IoT) ha transformado radicalmente sectores estratégicos globales, generando ecosistemas de dispositivos interconectados que producen volúmenes masivos de datos en tiempo real, pero…
• Análisis descriptivo de Técnicas de Machine Learning para Detección de Anomalías en Sistemas IoT
  2026 · 隐私计算与数据要素 · Introducción: El Internet de las Cosas (IoT) ha transformado radicalmente sectores estratégicos globales, generando ecosistemas de dispositivos interconectados que producen volúmenes masivos de datos en tiempo real, pero…
• Artificial Intelligence and Machine Learning- Enabled Security Framework for Data Privacy in Cloud Computing
  2026 · 隐私计算与数据要素 · The way in which Cloud computing has changed data storage and service delivery has also posed serious threats to privacy and security of data. The conventional encryption and rule-based intrusion detection systems can st…
• Artificial Intelligence and Machine Learning- Enabled Security Framework for Data Privacy in Cloud Computing
  2026 · 隐私计算与数据要素 · The way in which Cloud computing has changed data storage and service delivery has also posed serious threats to privacy and security of data. The conventional encryption and rule-based intrusion detection systems can st…
• Nexus Ocean: Quantum Intelligence Architecture for Deep-Sea Monitoring and Predictive Analytics
  2026 · 隐私计算与数据要素 · 🌊 Nexus Ocean v3.1.0 - Quantum AI Marine Intelligence Next-Generation Deep Sea Monitoring & Intelligence System Transforming oceanographic monitoring through quantum-inspired artificial intelligence 📖 Overview Nexus Oc…
• Nexus Ocean: Quantum Intelligence Architecture for Deep-Sea Monitoring and Predictive Analytics
  2026 · 隐私计算与数据要素 · 🌊 Nexus Ocean v3.1.0 - Quantum AI Marine Intelligence Next-Generation Deep Sea Monitoring & Intelligence System Transforming oceanographic monitoring through quantum-inspired artificial intelligence 📖 Overview Nexus Oc…
• WatAI: AI-Based System for Real-Time Flow Monitoring and Demand Prediction in Water Networks
  2025 · AI 安全与对齐 · Efficient monitoring and control of water demand are crucial for sustainable water resource management. Bogotá, Colombia, currently faces supply rationing due to climate change and ineffective public policies. This study…
• Industrial screw driving dataset collection: Time series data for process monitoring and anomaly detection
  2025 · 数字孪生 · Industrial Screw Driving Datasets This comprehensive dataset collection captures time-series data from industrial screw driving operations in plastic components. Designed for research in manufacturing process monitoring,…
• Industrial screw driving dataset collection: Time series data for process monitoring and anomaly detection
  2025 · 数字孪生 · Industrial Screw Driving Datasets This comprehensive dataset collection captures time-series data from industrial screw driving operations in plastic components. Designed for research in manufacturing process monitoring,…
• Industrial screw driving dataset collection: Time series data for process monitoring and anomaly detection
  2025 · 数字孪生 · Industrial Screw Driving Datasets This comprehensive dataset collection captures time-series data from industrial screw driving operations in plastic components. Designed for research in manufacturing process monitoring,…
• Edge-Based Motor Anomaly Detection on ESP32 Using an Autoencoder
  2025 · 边缘智能 · Industrial motors are susceptible to performance degradation and unexpected failures that raise downtime and maintenance costs. This paper presents a low-cost, edge-centric anomaly detection system built on the ESP32 mic…

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