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data mining

GeneTech 知识引擎共收录 80 篇相关科研实体，横跨 19 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。

年度产出趋势

代表性文献（按质量分排序，前 60 条）

• Toward Real-Time Digital Twins for CO₂ Storage: Graph Neural Network Ensembles for Multi-physics Forecasting and Risk Quantification
  2026 · 碳中和与 CCUS · Accurate forecasting of CO₂ plume migration, geochemical alteration, and geomechanical deformation is essential for secure geological carbon storage, yet high-fidelity thermo-hydro-mechanical-chemical (THMC) simulators r…
• Toward Real-Time Digital Twins for CO₂ Storage: Graph Neural Network Ensembles for Multi-physics Forecasting and Risk Quantification
  2026 · 数字孪生 · Accurate forecasting of CO₂ plume migration, geochemical alteration, and geomechanical deformation is essential for secure geological carbon storage, yet high-fidelity thermo-hydro-mechanical-chemical (THMC) simulators r…
• Intelligent sediment-groundwater digital twin: A systematic review, meta-analysis, and reference architecture for reliable metal pollution risk assessment.
  2026 · 数字孪生 · Sediment–groundwater interfaces regulate the mobilisation, transport, and attenuation of metal contaminants within highly heterogeneous and multi-scale subsurface systems. However, efforts to operationalise digital twins…
• A Knowledge Graph-Guided and Multimodal Data Fusion-Driven Rapid Modeling Method for Digital Twin Scenes: A Case Study of Bridge Tower Construction
  2026 · 数字孪生 · Establishing digital twin scenes facilitates the understanding of geospatial phenomena, representing a significant research focus for GIS scientists and engineers. However, current research on digital twin scenes modelin…
• AI-Driven Digital Twin Framework for Adaptive and Real-Time Structural Health Monitoring of Offshore Marine Structures
  2026 · 数字孪生 · Reliable structural health monitoring of offshore jack-up platforms is challenging due to harsh environments, measurement uncertainty, and gradual damage over time. This study proposes an integrated framework combining d…
• A Systematic Review of Data Fusion Techniques for Digital Twin Applications in the AEC Sector: Perspectives for Geotechnical Engineering
  2026 · 数字孪生 · The transformative role of Digital Twins (DTs) in the Architecture, Engineering, and Construction (AEC) sector lies in their capacity to generate dynamic, data-driven representations of physical assets that support desig…
• Data distribution performance for Digital Twin Synchronization: an experimental evaluation
  2026 · 数字孪生 · Digital Twin Synchronization (DTS) demands robust data distribution to handle heterogeneous flows, yet existing evaluations often overlook large messages and degraded networks. This work experimentally evaluates five mid…
• 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 …
• Development of a Digital Twin for Anionic Polymerization–The Importance of Reliable Substance Data
  2026 · 数字孪生 · High Resolution Image Download MS PowerPoint Slide Anionic polymerization of vinyl monomers enables exceptional control over the molar mass distribution of the synthesized polymers. Still, it requires highly stringent re…
• Identifying and characterising uncertainty in digital twin engineering
  2026 · 数字孪生 · Digital twin technologies are increasingly deployed in complex industrial systems where uncertainty management is critical to ensure their reliability, robustness, and resilience. However, there is currently limited lite…
• Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment
  2025 · AI 安全与对齐 · A key step in protein structure prediction involves the detection of co-evolving pairs of residues, a signal for spatial proximity. This information is gleaned from multiple sequence alignment and underscores Alphafold's…
• A systematic review of multi-mode analytics for enhanced plant stress evaluation
  2025 · 地外矿物 · Introduction: Detecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. Conventional single-mode approaches often fail to capture …
• 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…
• Developing Computer Vision-Based Digital Twin for Vegetation Management near Power Distribution Networks
  2025 · 数字孪生 · The maintenance of power distribution lines is critically challenged by vegetation encroachment, posing significant risks to the reliability and safety of power utilities. Traditional manual inspection methods are resour…
• Integrated Digital-Twin-Based Decision Support System for Relocatable Module Allocation Plan: Case Study of Relocatable Modular School System
  2025 · 数字孪生 · Relocatable modular buildings (RMBs) offer significant advantages, including flexibility, mobility, and scalability, making them ideal for temporary or rapidly changing scenarios. However, as the scale and quantity of RM…
• Digital twin system for manufacturing processes based on a multi-layer knowledge graph model
  2025 · 数字孪生 · Abstract Digital twin technology in the manufacturing process faces challenges like integrating diverse data sources and managing real-time data flow. To address this, we propose a novel three-layer knowledge graph archi…
• Intelligent real-time tool life prediction for a digital twin framework
  2025 · 数字孪生 · Abstract A key challenge in the machining manufacturing industry is real-time tool wear prediction, as conventional methods rely on conservative tool changes, causing premature replacement or excessive wear that risks fa…
• A Survey of Clustering Federated Learning in Heterogeneous Data Scenarios
  2025 · 隐私计算与数据要素 · Federated learning, as a collaborative training paradigm that preserves raw data privacy, offers an effective solution for data protection concerns. However, its practical implementation faces significant challenges due …
• Ultra-Short-Term Distributed Photovoltaic Power Probabilistic Forecasting Method Based on Federated Learning and Joint Probability Distribution Modeling
  2025 · 隐私计算与数据要素 · The accurate probabilistic forecasting of ultra-short-term power generation from distributed photovoltaic (DPV) systems is of great significance for optimizing electricity markets and managing energy on the user side. Ex…
• An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks
  2025 · 量子材料 · Intelligent Transportation Systems (ITS) necessitate scalable, real-time, and adaptive traffic flow prediction models to enhance urban mobility and alleviate congestion. Conventional Graph Neural Network methodologies en…
• Design of an iterative method for adaptive federated intrusion detection for energy-constrained edge-centric 6G IoT cyber-physical systems.
  2025 · 6G 与卫星互联网 · Abstract The increasing proliferation of 6G-enabled Internet of Things (IoT) in the Cyber-Physical Systems (CPS) domain has engendered requirements for distributed, intelligent, and energy-efficient Intrusion Detection S…
• Neural-Guided Adaptive Clustering for UAV-Based User Grouping in 5G/6G Post-Disaster Networks
  2025 · 6G 与卫星互联网 · In post-disaster scenarios, Unmanned Aerial Vehicles (UAVs) acting as Mobile Aerial Base Stations (MABSs) offer a flexible means of restoring communication for isolated user equipment (UE) when conventional infrastructur…
• Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction
  2024 · AI 驱动科学发现 · In the contemporary era, the intersection of the Internet of Things and artificial intelligence revolutionizes how industries monitor and optimize their operations. In this work, we present a system that combines real-ti…
• The Wide-Area Coverage Path Planning Strategy for Deep-Sea Mining Vehicle Cluster Based on Deep Reinforcement Learning
  2024 · 深海科技 · The path planning strategy of deep-sea mining vehicles is an important factor affecting the efficiency of deep-sea mining missions. However, the current traditional path planning algorithms suffer from hose entanglement …
• Data Mining Approach for Evil Twin Attack Identification in Wi-Fi Networks
  2024 · 数字孪生 · Recent cyber security solutions for wireless networks during internet open access have become critically important for personal data security. The newest WPA3 network security protocol has been used to maximize this prot…
• Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis
  2024 · 数字孪生 · The integration of artificial intelligence (AI) with Digital Twins (DTs) has emerged as a promising approach to revolutionize healthcare, particularly in terms of diagnosis and management of thoracic disorders. This stud…
• The Future of Manufacturing with AI and Data Analytics
  2024 · 数字孪生 · This chapter explores the potential of applying AI and data analytics to transform manufacturing. It provides an overview of new research trends in smart manufacturing, including the use of IoT, big data, and advanced AI…
• 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…
• Federated Learning‐Based Intrusion Detection Systems for Massive IoT
  2024 · 隐私计算与数据要素 · Despite the significant benefits that the 6G-enabled massive Internet of Things (IoT) applications will bring to the economy and society in the coming years, it is expected that the exponential increase in the number and…
• A novel intrusion detection system based on a hybrid quantum support vector machine and improved Grey Wolf optimizer
  2024 · 量子计算 · Abstract The Internet of Things (IoT) has grown significantly in recent years, allowing devices with sensors to share data via the internet. Despite the growing popularity of IoT devices, they remain vulnerable to cyber-…
• Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext
  2023 · 数字孪生 · This article introduces a novel framework for diagnosing faults in rolling bearings. The framework combines digital twin data, transfer learning theory, and an enhanced ConvNext deep learning network model. Its purpose i…
• Research on gas pipeline leakage model identification driven by digital twin
  2023 · 数字孪生 · When the gas pipeline leaks, it causes huge economic losses. This paper establishes a digital twin model of a pipeline based on the pressure signal generated by a pipeline leak and researches on pipeline leak detection. …
• From Delaunay triangulation to topological data analysis: generation of more realistic synthetic power grid networks
  2023 · 合成生物与生物制造 · Abstract Assessing novel methods for increasing power system resilience against cyber-physical hazards requires real power grid data or high-quality synthetic data. However, for security reasons, even basic connection in…
• 3D Semantic Digital Twins: Data Streams and Ontologies for Risk Prediction in Heritage Contexts
  2026 · 数字孪生 · Abstract. Sensor data are core for real-time monitoring in heritage contexts, allowing to ground the synchronization between the real asset and its Digital Twin (DT). Such synchronization can then be leveraged to perform…
• 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…
• DF-MKG-DTS: An integrated knowledge graph-based data representation method for digital twin shop-floors
  2026 · 数字孪生 · Digital Twin Shop-floor (DTS) systems require effective representation and integration of heterogeneous manufacturing data to support real-time decision-making. Existing approaches often suffer from limited semantic conn…
• Multi-Modal Fusion for Yield Optimization: Integrating Wafer Maps, Metrology, and Process Logs with Graph Models
  2026 · 数字孪生 · Yield optimization in advanced manufacturing rarely proceeds as a tidy pipeline; it arises from the gradual convergence of evidence across spatial wafer patterns, multivariate metrology, and asynchronous process and equi…
• Opening access to learning records datasets for better educational sciences
  2026 · 隐私计算与数据要素 · Research in learning analytics (LA), educational data mining (EDM) and artificial intelligence in education (AIEd) is fundamentally data-dependent, yet the behavioural learning trace data that powers it remains structura…
• Opening access to learning records datasets for better educational sciences
  2026 · 隐私计算与数据要素 · Research in learning analytics (LA), educational data mining (EDM) and artificial intelligence in education (AIEd) is fundamentally data-dependent, yet the behavioural learning trace data that powers it remains structura…
• De-identified outpatient prescription dataset of a national TCM master (Zhao Hanqing, 2025): 335 prescriptions with 5,951 herb-level records
  2026 · 中医药工具 · Background: Complete outpatient herbal prescription records of Professor Zhao Hanqing, January–December 2025, TCM Internal Medicine department, Heniantang Clinic. Contents: 5,951 herb-level records; 335 prescriptions; 12…
• CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis
  2024 · AI Agent 生态 · Single-cell RNA sequencing (scRNA-seq) data analysis is crucial for biological research, as it enables the precise characterization of cellular heterogeneity. However, manual manipulation of various tools to achieve desi…
• AI-enhanced spatial-temporal data-mining technology: New chance for next-generation urban computing
  2023 · 空间计算 · In the previous few decades, urbanization has accelerated. In 2020, the average worldwide urbanization rate was 56.2%,1Buchholz K. How has the world's urban population changed from 1950 to 2020.https://www.weforum.org/ag…
• Electricity Theft Detection in Smart Grids Based on Deep Neural Network
  2022 · AI 安全与对齐 · Electricity theft is a global problem that negatively affects both utility companies and electricity users. It destabilizes the economic development of utility companies, causes electric hazards and impacts the high cost…
• A Novel Anomaly Detection Method for Digital Twin Data Using Deconvolution Operation With Attention Mechanism
  2022 · 数字孪生 · In recent years, industrial control systems have evolved toward stability and efficiency, increasing industrial control systems interconnected with the Internet, which means that industrial control systems are facing mor…
• Ocean Observation Data Prediction for Argo Data Quality Control Using Deep Bidirectional LSTM Network
  2021 · 深海科技 · With the rapid development of maritime technologies, a huge amount of ocean data has been acquired through the state-of-the-art ocean equipment to get better understanding and development of ocean. The prediction and cor…
• HUNA: A Method of Hierarchical Unsupervised Network Alignment for IoT
  2020 · AI 安全与对齐 · With the advent of the era of the Internet of Things (IoT), a large number of interconnected smart devices form a huge network. The network can be abstracted as a graph, and we propose to identify similar IoT devices in …
• Artificial Intelligence and Smart Technologies in Safety Management: A Comprehensive Analysis Across Multiple Industries
  2024 · AI 安全与对齐 · The integration of Artificial Intelligence (AI) and smart technologies into safety management is a pivotal aspect of the Fourth Industrial Revolution or Industry 4.0. This study conducts a systematic literature review to…
• Applications of integrating artificial intelligence and big data: A comprehensive analysis
  2024 · 医疗人工智能 · Abstract The integration of artificial intelligence (AI) and big data technologies has the potential to revolutionize various industries, yet there are complexities and challenges associated with their implementation. Th…
• Artificial Intelligence and Smart Technologies in Safety Management: A Comprehensive Analysis Across Multiple Industries
  2024 · 数字孪生 · The integration of Artificial Intelligence (AI) and smart technologies into safety management is a pivotal aspect of the Fourth Industrial Revolution or Industry 4.0. This study conducts a systematic literature review to…
• Hybrid quantum enhanced federated learning for cyber attack detection
  2024 · 量子计算 · Cyber-attack brings significant threat and become a critical issue in the digital world network security. The conventional procedures developed to detects are centralized and often struggles with concerns like data priva…
• Error correcting optical mapping data
  2018 · AI 安全与对齐 · Optical mapping is a unique system that is capable of producing high-resolution, high-throughput genomic map data that gives information about the structure of a genome . Recently it has been used for scaffolding contigs…
• A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System
  2018 · 隐私计算与数据要素 · Big data is difficult to handle, process and analyse using traditional approach. Using services, we can resolve problem like resource sharing, storage capacity and data transfer bottlenecks etc. But there is a main issue…
• A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System
  2018 · 隐私计算与数据要素 · Big data is difficult to handle, process and analyse using traditional approach. Using services, we can resolve problem like resource sharing, storage capacity and data transfer bottlenecks etc. But there is a main issue…
• The Application Of Data Mining Technology In Building Energy Consumption Data Analysis
  2015 · 低空经济 · Energy consumption data, in particular those involving public buildings, are impacted by many factors: the building structure, climate/environmental parameters, construction, system operating condition, and user behavior…
• The Application Of Data Mining Technology In Building Energy Consumption Data Analysis
  2015 · 低空经济 · Energy consumption data, in particular those involving public buildings, are impacted by many factors: the building structure, climate/environmental parameters, construction, system operating condition, and user behavior…
• GSVA: gene set variation analysis for microarray and RNA-Seq data
  2013 · 生物计算 · BACKGROUND: Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis…
• Accelerating large-scale protein structure alignments with graphics processing units
  2012 · AI 安全与对齐 · BACKGROUND: Large-scale protein structure alignment, an indispensable tool to structural bioinformatics, poses a tremendous challenge on computational resources. To ensure structure alignment accuracy and efficiency, eff…
• CD-HIT: accelerated for clustering the next-generation sequencing data
  2012 · 生物计算 · SUMMARY: CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequen…
• Resources and Costs for Microbial Sequence Analysis Evaluated Using Virtual Machines and Cloud Computing
  2011 · 生物计算 · BACKGROUND: The widespread popularity of genomic applications is threatened by the "bioinformatics bottleneck" resulting from uncertainty about the cost and infrastructure needed to meet increasing demands for next-gener…
• Analyzing biological network parameters with CentiScaPe
  2009 · 生物计算 · SUMMARY: The increasing availability of large network datasets along with the progresses in experimental high-throughput technologies have prompted the need for tools allowing easy integration of experimental data with d…

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