PaperMetrixEvidence-aware discovery
EN
Interface language English EN العربية AR Türkçe TR
Create account
Researcher profile

Di Zhang

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. A Fault Diagnosis Method Composed of Gaussian Cloud Model and Domain-Invariant Features Extraction

    2021 · 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)

    Artificial intelligence technology is widely used in mechanical system fault diagnosis as an effective means, but there are few fault samples in practice, which seriously restricts the industrial application of Al diagnosis model to high-precision …

  2. Research on Diversity Composition Coefficients and Influencing Factors Based on High Bit Rate FM Baseband

    2022 · 2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)

    Based on the 4203 high code rate FM band, the actual equipment performance of the composite synthesis technology of the improved signal mass is studied, and the influence factors of the two key analysis diversity …

  3. Single photon emitters with polarization and orbital angular momentum locking in monolayer semiconductors

    2023 · arXiv (Cornell University)

    Excitons in monolayer transition metal dichalcogenide are endowed with intrinsic valley-orbit coupling between their center-of-mass motion and valley pseudospin. When trapped in a confinement potential, e.g., generated by strain field, we find that intralayer excitons …

  4. The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines

    2024 · arXiv (Cornell University)

    Stochastic First-Order (SFO) methods have been a cornerstone in addressing a broad spectrum of modern machine learning (ML) challenges. However, their efficacy is increasingly questioned, especially in large-scale applications where empirical evidence indicates potential performance …

  5. ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area

    2024 · arXiv (Cornell University)

    Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the processing of visual information, which cannot be successfully handled by existing …