Works matching DE "MULTISENSOR data fusion"
Results: 4625
Design and Research of Facial Expression Recognition System Based on Key Point Extraction.
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- KSII Transactions on Internet & Information Systems, 2025, v. 19, n. 1, p. 78, doi. 10.3837/tiis.2025.01.004
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ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment.
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- Frontiers in Neuroscience, 2025, p. 1, doi. 10.3389/fnins.2024.1493163
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Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion.
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- NPJ Science of Food, 2025, v. 9, n. 1, p. 1, doi. 10.1038/s41538-025-00376-0
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A Data Optimization and Updating Method for Single Building.
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- Sensors & Materials, 2025, v. 37, n. 1, Part 3, p. 231, doi. 10.18494/SAM5290
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Mamba-based Multibranch State Space Iterative Fusion Algorithm for Multisource Power Grid Survey Data.
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- Sensors & Materials, 2025, v. 37, n. 1, Part 3, p. 193, doi. 10.18494/SAM5257
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水利工程倾斜影像三维实景建模中的 空地数据融合与精度优化研究.
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- Water Conservancy Science & Techonlogy & Economy, 2024, v. 30, n. 12, p. 1, doi. 10.3969/j.issn.1006-7175.2024.12.001
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Taxonomy of sensor fusion techniques for various application areas: A review.
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- Nigde Omer Halisdemir University Journal of Engineering Sciences / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2025, v. 14, n. 1, p. 392, doi. 10.28948/ngumuh.1455086
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Digital twin-driven real-time suppression of delamination damage in CFRP drilling.
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- Journal of Intelligent Manufacturing, 2025, v. 36, n. 2, p. 1459, doi. 10.1007/s10845-023-02315-w
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NCFDet: Enhanced point cloud features using the neural collapse phenomenon in multimodal fusion for 3D object detection.
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- Journal of Computational Design & Engineering, 2025, v. 12, n. 1, p. 300, doi. 10.1093/jcde/qwae115
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Research and Application of 3D Design for Yongchuan Line for Chongqing Suburban Railway Based on BIM+GIS Electronic Sand Table.
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- Railway Standard Design, 2025, v. 69, n. 1, p. 43, doi. 10.13238/j.issn.1004-2954.202306210001
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A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects.
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- International Journal of Remote Sensing, 2025, v. 46, n. 3, p. 1327, doi. 10.1080/01431161.2024.2429784
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变速曲轴水平度的在线测量装置及方法.
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- Machine Tool & Hydraulics, 2024, v. 52, n. 24, p. 21, doi. 10.3969/j.issn.1001-3881.2024.24.004
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IMPORTANŢA GEOINT ÎN SPRIJINUL ACŢIUNILOR MILITARE DIN UCRAINA.
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- Gândirea Militară Românească, 2024, n. 4, p. 104, doi. 10.55535/GMR.2024.4.6
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基于低场核磁共振与近红外数据融合 的豆粕蛋白质含量预测模型.
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- Science & Technology of Cereals, Oils & Foods, 2025, v. 33, n. 1, p. 156, doi. 10.16210/j.cnki.1007-7561.2025.01.016
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Fusion Method for Interval Number Multi-sensor Information.
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- Journal of Systems Science & Information, 2009, v. 7, n. 2, p. 119
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A time-reversal assisted probabilistic fusion strategy for damage localization in plate-like structures using Lamb waves.
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- Structural Health Monitoring, 2023, v. 22, n. 6, p. 3579, doi. 10.1177/14759217221151040
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Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism.
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- Structural Health Monitoring, 2023, v. 22, n. 3, p. 1911, doi. 10.1177/14759217221116599
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An information fusion approach for increased reliability of condition monitoring With homogeneous and heterogeneous sensor systems.
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- Structural Health Monitoring, 2023, v. 22, n. 3, p. 1601, doi. 10.1177/14759217221112451
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A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves.
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- Structural Health Monitoring, 2023, v. 22, n. 1, p. 714, doi. 10.1177/14759217221094466
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Heterogeneous data fusion for the improved non-destructive detection of steel-reinforcement defects using echo state networks.
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- Structural Health Monitoring, 2022, v. 21, n. 6, p. 2910, doi. 10.1177/14759217221080718
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Restoration of missing structural health monitoring data using spatiotemporal graph attention networks.
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- Structural Health Monitoring, 2022, v. 21, n. 5, p. 2408, doi. 10.1177/14759217211056832
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Nonparametric nonlinear restoring force and excitation identification with Legendre polynomial model and data fusion.
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- Structural Health Monitoring, 2022, v. 21, n. 2, p. 264, doi. 10.1177/1475921721994740
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Fusion-based damage diagnostics for stiffened composite panels.
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- Structural Health Monitoring, 2022, v. 21, n. 2, p. 613, doi. 10.1177/14759217211007127
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Examining the contribution of near real-time data for rapid seismic loss assessment of structures.
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- Structural Health Monitoring, 2022, v. 21, n. 1, p. 118, doi. 10.1177/1475921721996218
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Deep learning–based roadway crack classification with heterogeneous image data fusion.
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- Structural Health Monitoring, 2021, v. 20, n. 3, p. 1274, doi. 10.1177/1475921720948434
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A research on fatigue crack growth monitoring based on multi-sensor and data fusion.
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- Structural Health Monitoring, 2021, v. 20, n. 3, p. 848, doi. 10.1177/1475921719865727
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Vibro-acoustic modulation and data fusion for localizing alkali–silica reaction–induced damage in concrete.
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- Structural Health Monitoring, 2020, v. 19, n. 6, p. 1905, doi. 10.1177/1475921720905509
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Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion.
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- Structural Health Monitoring, 2020, v. 19, n. 5, p. 1542, doi. 10.1177/1475921719890616
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A hybrid model of internal pitting corrosion degradation under changing operational conditions for pipeline integrity management.
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- Structural Health Monitoring, 2020, v. 19, n. 4, p. 1075, doi. 10.1177/1475921719877656
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Multi-rate data fusion for dynamic displacement measurement of beam-like supertall structures using acceleration and strain sensors.
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- Structural Health Monitoring, 2020, v. 19, n. 2, p. 520, doi. 10.1177/1475921719857043
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Data fusion approaches for structural health monitoring and system identification: Past, present, and future.
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- Structural Health Monitoring, 2020, v. 19, n. 2, p. 552, doi. 10.1177/1475921718798769
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Stress monitoring of prestressing strands in corrosive environments using modulated higher-order guided ultrasonic waves.
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- Structural Health Monitoring, 2020, v. 19, n. 1, p. 202, doi. 10.1177/1475921719842385
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Hybrid data fusion approach for fault diagnosis of fixed-axis gearbox.
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- Structural Health Monitoring, 2018, v. 17, n. 4, p. 936, doi. 10.1177/1475921717727700
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Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring.
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- Structural Health Monitoring, 2018, v. 17, n. 4, p. 823, doi. 10.1177/1475921717721457
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Adaptive multisensor data fusion for acoustic emission source localization in noisy environment.
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- Structural Health Monitoring, 2013, v. 12, n. 1, p. 59, doi. 10.1177/1475921712462937
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On Selection of Data Fusion Schemes for Structural Damage Evaluation.
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- Structural Health Monitoring, 2009, v. 8, n. 3, p. 223, doi. 10.1177/1475921708102140
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Multifocus Image Fusion Scheme Using Feature Contrast of Orientation Information Measure in Lifting Stationary Wavelet Domain.
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- Journal of Information Science & Engineering, 2013, v. 29, n. 2, p. 227
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A Solution for Data Inconsistency in Data Integration.
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- Journal of Information Science & Engineering, 2011, v. 27, n. 2, p. 681
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A Dynamic Multiple Sensor System for Radar Maneuvering Target Tracking Problems.
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- Journal of Information Science & Engineering, 2007, v. 23, n. 6, p. 1833
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Particle filtering data fusion.
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- Computing & Control Engineering, 2004, v. 15, n. 3, p. 3
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Harvesting External Data: The Potential of Digital Data Streams.
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- MIS Quarterly Executive, 2013, v. 12, n. 1, p. 53
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Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems.
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- Complexity, 2018, p. 1, doi. 10.1155/2018/1240149
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Infrared and radar fusion detection method based on heterogeneous data preprocessing.
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- Optical & Quantum Electronics, 2019, v. 51, n. 10, p. N.PAG, doi. 10.1007/s11082-019-2053-z
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Performance evaluation of complex systems based on hierarchical evidential reasoning rule considering disturbances.
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- Journal of Supercomputing, 2024, v. 80, n. 15, p. 22124, doi. 10.1007/s11227-024-06195-6
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Perception data fusion-based computation offloading in cooperative vehicle infrastructure systems.
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- Journal of Supercomputing, 2024, v. 80, n. 12, p. 17688, doi. 10.1007/s11227-024-06145-2
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A cross-layered cluster embedding learning network with regularization for multivariate time series anomaly detection.
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- Journal of Supercomputing, 2024, v. 80, n. 8, p. 10444, doi. 10.1007/s11227-023-05833-9
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FASR-LED: reducing energy consumption in wireless body area networks by an efficient smart method.
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- Journal of Supercomputing, 2024, v. 80, n. 1, p. 1009, doi. 10.1007/s11227-023-05481-z
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An efficient parallelization method of Dempster–Shafer evidence theory based on CUDA.
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- Journal of Supercomputing, 2023, v. 79, n. 4, p. 4582, doi. 10.1007/s11227-022-04810-y
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Multi-sensor information fusion for efficient smart transport vehicle tracking and positioning based on deep learning technique.
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- Journal of Supercomputing, 2022, v. 78, n. 5, p. 6121, doi. 10.1007/s11227-021-04115-6
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Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies.
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- Precision Agriculture, 2024, v. 25, n. 5, p. 2614, doi. 10.1007/s11119-024-10168-3
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