Zheng Wang

ORCID: 0009-0003-3958-8841
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About
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Research Areas
  • Mechanical stress and fatigue analysis
  • Metal Alloys Wear and Properties
  • Surface Treatment and Residual Stress
  • Metal and Thin Film Mechanics
  • Vehicle License Plate Recognition
  • Grey System Theory Applications
  • Structural Integrity and Reliability Analysis
  • Industrial Vision Systems and Defect Detection
  • Erosion and Abrasive Machining
  • Advanced Decision-Making Techniques
  • Advanced Neural Network Applications
  • Engineering Applied Research
  • Image and Object Detection Techniques
  • Handwritten Text Recognition Techniques

Mie University
2024

Mie University Hospital
2024

Southwest Jiaotong University
2024

Social Intelligence Queries (Social-IQ) serve as the primary multimodal benchmark for evaluating a model’s social intelligence level. While impressive multiple-choice question (MCQ) accuracy is achieved by current solutions, increasing evidence shows that they are largely, and in some cases entirely, dependent on language modality, overlooking visual context. Additionally, closed-set nature further prevents exploration of whether to what extent reasoning path behind selection correct. To...

10.1609/aaai.v39i5.32497 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

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10.2139/ssrn.4691322 preprint EN 2024-01-01

The effects of laser shock peening without coating (LSPwC) and compound strengthening (LSP-CS) on the fretting fatigue life GH4169 dovetail component at 500 ℃ were investigated. results show that LSP treatment does not lead to significant changes in grain size alloy, but it introduces a large number dislocations, leading formation plastic hardening layer residual compressive stress layer. surface microhardness increased by 20.5 % 28.6 %, respectively. stresses -306.5 ± 42.5 Mpa -404.3 34.7...

10.2139/ssrn.4716354 preprint EN 2024-01-01

The detection of defects in printed circuit board (PCB) components is crucial to the quality PCB. problems blurred details, complex and varied backgrounds poor recognition PCB lead accuracy. To address these problems, this paper proposes a component defect model (MSF-ECANet) based on multi-scale features efficient channel attention networks. Firstly, challenge unclear information regarding intricate deep networks, Residual Nets (ResNet) Multi-Scale Feature Pyramid Networks (FPN) are...

10.1109/access.2024.3395499 article EN cc-by-nc-nd IEEE Access 2024-01-01

The linear heating and formation of steel plates is one the most critical technologies in shipbuilding. Excellent technology not only provides good hydrodynamics for hull but also affects whole construction cycle cost. In a plate, material, size, thickness plate; temperature; position; many other factors affect plate. It very difficult process to know influence relationship between various factors. this study, plate model established by Gaussian regression method, which can predict...

10.3390/jmse12122267 article EN cc-by Journal of Marine Science and Engineering 2024-12-10
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