Eliminating Vertical Stripe Defects on Silicon Steel Surface byL1/2Regularization

Article Properties
  • Language
    English
  • Publication Date
    2011/01/01
  • Indian UGC (journal)
  • Refrences
    11
  • Citations
    4
  • Wenfeng Jing Institute for Information and System Science, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China
  • Deyu Meng Institute for Information and System Science, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China
  • Chen Qiao Institute for Information and System Science, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China ORCID
  • Zhiming Peng Institute for Information and System Science, Faculty of Science, Xi'an Jiaotong University, Xi'an 710049, China
Abstract
Cite
Jing, Wenfeng, et al. “Eliminating Vertical Stripe Defects on Silicon Steel Surface ByL1 2Regularization”. Mathematical Problems in Engineering, vol. 2011, 2011, pp. 1-13, https://doi.org/10.1155/2011/854674.
Jing, W., Meng, D., Qiao, C., & Peng, Z. (2011). Eliminating Vertical Stripe Defects on Silicon Steel Surface byL1/2Regularization. Mathematical Problems in Engineering, 2011, 1-13. https://doi.org/10.1155/2011/854674
Jing, Wenfeng, Deyu Meng, Chen Qiao, and Zhiming Peng. “Eliminating Vertical Stripe Defects on Silicon Steel Surface ByL1 2Regularization”. Mathematical Problems in Engineering 2011 (2011): 1-13. https://doi.org/10.1155/2011/854674.
1.
Jing W, Meng D, Qiao C, Peng Z. Eliminating Vertical Stripe Defects on Silicon Steel Surface byL1/2Regularization. Mathematical Problems in Engineering. 2011;2011:1-13.
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2003
Title 1996
Title Journal of Machine Learning Research
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2003/04
Approaches to knowledge reductions in inconsistent systems International Journal of Intelligent Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
105 2003
The elements of statistical learning: data mining 2001
Citations
Title Journal Journal Categories Citations Publication Date
A non-convex piecewise quadratic approximation of $$\ell _{0}$$ regularization: theory and accelerated algorithm Journal of Global Optimization
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
2 2022
Acoustic sources mapping based on the non-negative L1/2 regularization Applied Acoustics
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Science: Physics: Acoustics. Sound
  • Science: Physics
4 2020
Acoustic sources mapping based on the non-negative L1/2 regularization Applied Acoustics
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Science: Physics: Acoustics. Sound
  • Science: Physics
4 2020
An Empirical Study on the Performance of Cost-Sensitive Boosting Algorithms with Different Levels of Class Imbalance

Mathematical Problems in Engineering
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
8 2013
Citations Analysis
The category Science: Physics: Acoustics. Sound 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled An Empirical Study on the Performance of Cost-Sensitive Boosting Algorithms with Different Levels of Class Imbalance and was published in 2013. The most recent citation comes from a 2022 study titled A non-convex piecewise quadratic approximation of $$\ell _{0}$$ regularization: theory and accelerated algorithm. This article reached its peak citation in 2020, with 2 citations. It has been cited in 3 different journals. Among related journals, the Applied Acoustics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year