Ling Yu

ORCID: 0009-0001-1774-1636
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About
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Research Areas
  • Advanced Neural Network Applications
  • Advanced Sensor and Control Systems
  • Smart Agriculture and AI
  • Advanced Algorithms and Applications
  • Image Enhancement Techniques
  • Video Surveillance and Tracking Methods
  • Industrial Technology and Control Systems
  • Visual Attention and Saliency Detection
  • Retinoids in leukemia and cellular processes
  • Image Processing Techniques and Applications
  • Liver Disease and Transplantation
  • Brain Tumor Detection and Classification
  • QR Code Applications and Technologies
  • Yersinia bacterium, plague, ectoparasites research
  • Medical Image Segmentation Techniques
  • Glaucoma and retinal disorders
  • Corneal surgery and disorders
  • Hemodynamic Monitoring and Therapy
  • Gear and Bearing Dynamics Analysis
  • Electrolyte and hormonal disorders
  • Industrial Vision Systems and Defect Detection
  • Fault Detection and Control Systems
  • Digital Media Forensic Detection
  • Intraocular Surgery and Lenses

Renji Hospital
2024

Shanghai Jiao Tong University
2024

Changchun University of Science and Technology
2024

Shenyang Jianzhu University
2023

Affiliated Hospital of Southwest Medical University
2021

Southwest Medical University
2021

Army Medical University
2021

Army Medical College
2021

Peking University
2019

Peking University Cancer Hospital
2019

Abstract In the field of deep learning, attention mechanism, as a technology that mimics human perception and processes, has made remarkable achievements. The current methods combine channel mechanism spatial in parallel or cascaded manner to enhance model representational competence, but they do not fully consider interaction between information. This paper proposes method which space embedded module are model’s competence. First, module, competence region interest different dimensions,...

10.1007/s40747-024-01445-9 article EN cc-by Complex & Intelligent Systems 2024-05-06

Abstract With the increasing complexity of industrial equipment, fault diagnosis rolling bearings, which are important rotating mechanical components, is particularly critical. Rolling bearing under small-sample conditions faces challenges data scarcity and insufficient model validity. In this paper, a method based on multi-sensor fusion proposed to solve problem conditions. First, time-frequency image module designed convert multi-source 1D vibration signals into 2D fused images by...

10.1088/1361-6501/add031 article EN Measurement Science and Technology 2025-04-24

Abstract Brain disease diagnosis using multiple imaging modalities has shown superior performance compared to single modality, yet multi-modal data is not easily available in clinical routine due cost or radiation risk. Here we propose a synthesis-empowered uncertainty-aware classification framework for brain diagnosis. To synthesize disease-relevant features effectively, two-stage proposed including feature representation learning and transfer based on hierarchical similarity matching....

10.1038/s44172-024-00245-w article EN cc-by Communications Engineering 2024-07-10

This paper introduced color Barcode and its differences with the traditional linear Barcode, 2D RFID technology. Lightweight algorithms for encoding decoding are designed separately. A mobile commerce instance of used in traceable anti-forgery consumer electronics cards is given. Compared barcode, barcode RFID, possesses unparalleled advantages applications, such as three-dimensional information carrying capacity rich forms expression. work will be beneficial to spread concepts applications Barcode.

10.1109/iccse.2013.6554019 article EN 2013-04-01

The control of hydraulic servo system is the key to automatic horizon device memory-cutting shear. radial basis function (RBF) hierarchical neural network (RBFHNN) presented shearer. RBFHNN can identify sensitivity in real time learning phase, and make rapidly track roof curve last cycle as feed-forward controller phase. simulation results for shearer show based on faster, has higher accuracy better stability.

10.1109/ccdc.2010.5498888 article EN Chinese Control and Decision Conference 2010-05-01

Abstract Background: With the aging of global population, incidence primary angle-closure glaucoma (PACG) or angle closure (PAC) with concomitant cataracts has been increasing. We aimed to compare corneal higher-order aberrations, refractive error and ocular biological parameters changes after phacoemulsification posterior intraocular lens implantation combined goniosynechialysis (Phaco-IOL-GSL) was performed in PACG PAC patients different axial lengths. Methods: 83 eyes 69 were divided into...

10.21203/rs.3.rs-970331/v1 preprint EN cc-by Research Square (Research Square) 2021-10-20

Periodic inspection of underwater structures on bridges is important, and current methods often have dead ends or are economically inefficient for detecting structural diseases. Therefore, this study aims to improve the efficiency structure disease detection by improving Retinex visual image algorithm enhance effect accurately. First, classical spatial domain enhancement algorithms frequency commonly used in field introduced. Second, based guided filtering applied recover original achieve...

10.2139/ssrn.4596713 preprint EN 2023-01-01

10.3980/j.issn.1672-5123.2018.5.44 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2018-05-01

Abstract Background: This prospective cohort study was designed to investigate the factors related serum lactate in hepatectomy patients with fluid restriction before resection of liver lesions. Methods: Patients for an open procedure elective partial were chosen this study. Limited infused at a rate 6 ml·kg -1 ·h resection. The infusion speed increased after lesion. Stable hemodynamics maintained by additional or vasoconstrictor drug. An 200 ml crystalloid liquid over ten min given when...

10.21203/rs.2.13242/v1 preprint EN cc-by Research Square (Research Square) 2019-08-20
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