The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...
Abstract: In this paper, we study autonomous landing scene recognition with knowledge transfer for drones. Considering the difficulties in aerial remote sensing, especially that some scenes are ...
Abstract: Bearings are key components in mechanical equipment, and remaining useful life (RUL) prediction of bearings is of great significance for stable production in industry. To predict RUL ...
On the other hand, the standard BLS is highly efficient and avoids gradient-based optimization problems, yet its shallow and flat structure lacks the ability to sufficiently explore the complex 3D ...
SparsePixels: Efficient Convolution for Sparse Data on FPGAs (2025) Machine Learning-Informed 3+1 Sterile Neutrino Global Fits using Posterior Density Estimation of Electron Disappearance Data [DOI] ...
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