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Research on Abnormal Heart Rate Detection Method of Athletes Based on Wireless Sensing Multi-source Information Fusion
Most of the existing heart rate anomaly detection methods only use a single signal to determine the abnormal heart rate state of college athletes,...
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Reinforcement learning for multi-agent with asynchronous missing information fusion method
Most current research on multi-agent reinforcement learning assumes a reliable environment where agents have globally accurate observations. However,...
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Intelligent prediction of sudden cardiac death based on multi-domain feature fusion of heart rate variability signals
Background and objectiveSudden cardiac death (SCD) is one of the leading causes of death in cardiovascular diseases. Monitoring the state of the...
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Multi-algorithm fusion–based intelligent decision-making method for robotic belt grinding process parameters
Robotic belt grinding is a productive method frequently used to finish intricate parts. To address the challenges of ensuring grinding efficiency and...
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A train bearing imbalanced fault diagnosis method based on extended CCR and multi-scale feature fusion network
The number of fault samples is much less than the normal samples in the actual operation of the train bearing, and the imbalanced characteristics of...
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Fusion method for digital twin model of a production line
Digital twins have attracted more and more attention in the past few years. To put digital twins into practice, a large number of modeling approaches...
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Planning method of droplet fusion scheduling based on mixed-integer programming
The emergence of new display devices, such as organic light-emitting diodes, has brought about numerous advantages, including high material...
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Multi-view Detection Method for UAVs Based on Probabilistic Fusion
Human detection by a single unmanned aerial vehicle (UAV) is easily limited by the angle of view, which cannot obtain enough feature information...
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Multi-feature optimized VMD and fusion index for bearing fault diagnosis method
In order to effectively solve the parameter selection problem of variational mode decomposition (VMD) and accurately extract the bearing fault...
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Electromagnetic-Acoustic Sensing-Based Multi-Feature Fusion Method for Stress Assessment and Prediction
Manufacturing and online service of ferromagnetic materials easily induce local stress concentrations and then generate cracks. Research on...
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An enhanced method of feature fusion techniques to diagnosis neonatal hyperbilirubinemia
Neonatal disorder is most common in newborn babies. It is due to the unusual activity of the baby's organs. Neonatal hyperbilirubinemia is familiar...
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Characterization method of rolling bearing operation state based on feature information fusion
Aiming at the problem of incomplete information covered by the bearing state discrimination using a single physical quantity as the data source, a...
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Multi-level autonomous integrity monitoring method for multi-source PNT resilient fusion navigation
For the integrity monitoring of a multi-source PNT (Positioning, Navigation, and Timing) resilient fusion navigation system, a theoretical framework...
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Drift Error Calibration Method Based on Multi-MEMS Gyroscope Data Fusion
This article is concerned with the method of calibrating the temperature drift and random drift of Micro-Electro-Mechanical System (MEMS) gyroscope...
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Unbalanced Graph Multi-Scale Fusion Node Classification Method
Graphs are used as a data structure to describe complex relationships between things. The node classification method based on graph network plays an...
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Minimum cascade repair method for mobile network nodes failure under time–frequency feature fusion
Aiming at the connectivity failure caused by the failure of mobile network nodes in complex application scenarios, a minimum cascade repair method...
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A model fusion method based on multi-source heterogeneous data for stock trading signal prediction
In the prediction of turning points (TPs) of time series, the improved model of integrating piecewise linear representation and weighted support...
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Pore Structure Identification Method for Pervious Concrete Based on Improved UNet and Fusion Algorithm
This paper aims to establish an automatic and accurate pore identification method for pervious concrete. The residual module and mixed loss functions...
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Rolling bearing composite fault diagnosis method based on EEMD fusion feature
Aiming at the problem that the composite fault vibration signal of rolling bearing is complex and it is difficult to effectively extract the impact...
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A rapid generation method of models in machining processes for real-time human–machine interaction with virtual-real fusion
The intelligent service of the digital twin machine tool provides convenience for the human operation interaction in the machine tool, and the...
