Automatic Tracking Method of Basketball Flight Trajectory Based on Data Fusion and Sparse Representation Model by Cuiping Cao, Hai Yu, Yun Liu

“…The appearance model of flying basketball obtained by the traditional basketball flight trajectory tracking method is not accurate, which leads the anti-interference performance of trajectory tracking not ideal. Based on data fusion and sparse representation model, a new automatic trajectory tracking method is proposed. …”
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Seismic Performance Analysis of Steel Truss Coal Conveying Trestle Based on Multisensor Data Fusion by Bo-yu Yao

“…Then, based on multisensor data fusion, the dynamic characteristics of long-span coal conveying trestle are measured. …”
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Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion by Xin Kang Li, Li Jun Tang, Ze Ying Li, Dian Qiu, Zhuo Ling Yang, Xiao Yi Zhang, Xiang-Zhi Zhang, Jing Jing Guo, Bao Qiong Li

“…Four machine learning methods are employed to establish discrimination models based on GC and MIR data, with two mid-level data fusion strategies to combine the data. The results show that data fusion significantly improves Chenpi origin discrimination. …”
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Construction of a Multimodal Neuroimaging Data Fusion System and Evaluation of Mental Fatigue Using Nonlinear Analysis by Rui Chen, Zhenzhong Li, Yi Lai

“…Second, the eigenspace maximal information canonical correlation analysis (emiCCA) is introduced to construct the multimodal neuroimaging data fusion system. Finally, how the brain function network is constructed is introduced. …”
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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

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Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

“…Aiming at the problem that the stochastic change of wind turbine generator (WTG) working conditions and the complex nonlinear relationship between load and operation data make it difficult to predict the short-term load online, this paper proposes an adaptive multi-information source data fusion online prediction method for WTG load. Random forest (RF) and WaveNet time series (WTS) are established as subinformation source models, and the influence of input features and historical data on load prediction is considered from horizontal and vertical dimensions. …”
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Vision-Based Damage Detection Method Using Multi-Scale Local Information Entropy and Data Fusion by Yiming Zhang, Zili Xu, Guang Li, Cun Xin

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A data fusion-based method for pedestrian detection and flow statistics across different crowd densities by Ranpeng Wang, Hang Gao, Yi Liu

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Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion by Yue Hou, Zhiyuan Deng, Hanke Cui

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High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion by Ye Yuan, Shuguang Zhou, Jianhua Bian, Jinlin Wang, Wei Han, Jining Yan

Subjects: “…Data fusion…”
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Retracted: Seismic Performance Analysis of Steel Truss Coal Conveying Trestle Based on Multisensor Data Fusion by Discrete Dynamics in Nature and Society

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Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning by Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, Huan Tran, Ryan Lively, Rampi Ramprasad

“…This strategy underscores the potential of coupling high-throughput classical simulations with data fusion methodologies to yield state-of-the-art property predictors, especially when experimental data for targeted properties is scarce.…”
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Improving CT reconstructions of multi-material assemblies by multi-position data fusion: a case study by Javier Sánchez Prieto, Filippo Zanini, Simone Carmignato

“…This study validates a method for selecting optimal combinations of object orientations to improve volumetric reconstructions through multi-position CT data fusion. The approach operates in the projection domain, minimizing the need for extensive datasets while enhancing artifact mitigation. …”
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Quality identification of Amomi fructus using E-nose, HS-GC-IMS, and intelligent data fusion methods by Pan-Pan Zhang, Xin-Jing Gui, Xin-Jing Gui, Xin-Jing Gui, Xue-Hua Fan, Han-Li, Hai-Yang Li, Xiao-Peng Li, Feng-Yu Dong, Yan-Li Wang, Jing-Yao, Jing-Yao, Jun-Han Shi, Jun-Han Shi, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu

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Retracted: Design of Moral Education Management System for Higher Vocational Students Based on Multisource Sensing Data Fusion by Discrete Dynamics in Nature and Society

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Author Correction: Gas permeability, diffusivity, and solubility in polymers: simulation-experiment data fusion and multi-task machine learning by Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, Huan Tran, Ryan Lively, Rampi Ramprasad

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Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion by Ran Xu, Yanguo Fan, Bowen Fan, Guangyue Feng, Ruotong Li

“…This study proposes a multi-source remote sensing data fusion method based on Sentinel-1 and Sentinel-2 imagery, integrating the temporal characteristics of optical and SAR (synthetic aperture radar) data for the classification mapping of salt marsh vegetation in the Yellow River Delta. …”
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Complete Coverage Path Planning in an Unknown Underwater Environment Based on D-S Data Fusion Real-Time Map Building by Mingzhong Yan, Daqi Zhu, Simon X. Yang

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A CBA-KELM-Based Recognition Method for Fault Diagnosis of Wind Turbines with Time-Domain Analysis and Multisensor Data Fusion by Xiafei Long, Ping Yang, Hongxia Guo, Zhuoli Zhao, Xiwen Wu

“…In this paper, a novel fault diagnosis methodology based on a cloud bat algorithm (CBA)-kernel extreme learning machines (KELM) approach for wind turbines is proposed via combination of the multisensor data fusion technique and time-domain analysis. First, the derived method calculates the time-domain indices of raw signals, and the fused time-domain indexes dataset are obtained by the multisensor data fusion. …”
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Prediction Model of Soybean Meal Protein Content Based on Low-field Nuclear Magnetic Resonance and Near-infrared Data Fusion by REN Guo-wei, ZHENG Sheng-guo, LU Bing, LU Dao-li, CHEN Bin

“…A prediction model for soybean meal protein content was developed using low-field NMR and near-infrared spectral data fusion for rapid protein content detection during soybean meal production. …”
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