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- Yuanjin ZhengSuggested from co-authorship
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Works21 from public data
- A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm41
A bearing fault classification feature extraction method based on multisensor fusion technology and an enhanced binary one-dimensional ternary pattern (EB-1D-TP) algorithm that can significantly improve the accuracy and speed of rolling-bearing fault classification.
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- Standalone ultrasound-based highly visualized volumetric spine imaging for surgical navigation8
Clinical application of standalone US navigation is explored and broadened by providing intraoperative high-visualized volumetric spinal imaging, which is expected to increase the likelihood of surgeons adopting it in practice to reduce the occurrence of wrong-site surgery.
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- Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure3
This paper considers that time-varying noise exists at the input of hidden neurons, with zero-mean Gaussian distribution, and derives lower and upper bounds on the mean square error loss to estimate the inherent noise tolerance of a noise-free trained feedforward network.
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- Emergent Semantics in Lensless Imaging: Decoupled Segmentation With Physics-Guided Feature Inversion–
- Research on Automatic Generation Algorithm of Woolen Structure Pattern Based on Graph Neural Network–
- Multi-visual pattern mining algorithm based on variational inference Gaussian mixture and pattern activation response map model–
The proposed multi-visual pattern mining algorithm has high frequency and discriminability, which can provide a more comprehensive visual representation and help better mine images of the same category but different visual patterns.
- Scene image visual layout based on deep encoder–decoder network and visual image attention model–
The research model optimizes cross-modal semantic consistency, multi-scale dynamic interaction relationship modeling, and complex spatial constraint perception capabilities, providing high-precision and efficient layout generation technology support for virtual reality scene construction and digital design of smart cities.
- Product Packaging Design Automation Optimization Based on Image Processing and GAN–
An optimization framework for packaging design that integrates image processing techniques with Generative Adversarial Networks (GANs) is proposed that incorporates structural preservation modules, semantic guidance mechanisms, and color printability constraints to enhance both visual appeal and industrial applicability.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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