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A hybrid kernel function approach for acoustic reconstruction of temperature distribution

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0 Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.108238

Abstract: Abstract This paper utilizes a hybrid kernel method based on a cubic + exponential kernel to reconstruct the temperature field in a measurement area. In the experiments, we simulate the internal circumstance of a furnace in the… read more here.

Keywords: temperature; method; area; kernel method ... See more keywords

Can We Track Targets From Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video

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1 Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2019.2922648

Abstract: Despite the great success of correlation filter-based trackers in visual tracking, it is questionable whether they can still perform on the satellite video data, acquired by a satellite or space station very high above the… read more here.

Keywords: correlation filter; satellite video; hybrid kernel;

Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm

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0 Published in 2024 at "Batteries"

DOI: 10.3390/batteries10110398

Abstract: The accurate prediction of lithium-ion battery state of health (SOH) can extend battery life, enhance device safety, and ensure sustained reliability in critical applications. Addressing the non-linear and non-stationary characteristics of battery capacity sequences, a… read more here.

Keywords: battery; dhkelm; extreme learning; hybrid kernel ... See more keywords

Research on Transmission Line Icing Prediction for Power System Based on Improved Snake Optimization Algorithm-Optimized Deep Hybrid Kernel Extreme Learning Machine

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0 Published in 2025 at "Energies"

DOI: 10.3390/en18174646

Abstract: As extreme weather events become more frequent, the icing of transmission lines in winter has become more common, causing significant economic losses to power systems and drawing increasing attention. However, owing to the complexity of… read more here.

Keywords: transmission; extreme learning; learning machine; hybrid kernel ... See more keywords

Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis

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1 Published in 2023 at "Sensors"

DOI: 10.3390/s23115137

Abstract: We propose a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO). The model uses discrete Fourier transform (DFT) to extract fifteen features from… read more here.

Keywords: fault diagnosis; hybrid kernel; kernel svm; bayesian optimized ... See more keywords