Subhash Kumar Yadav

2013–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Subhash Kumar Yadav trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jambulingam Subramani
  2. G. Kumarapandiyan

Papers from Subhash Kumar Yadav's perspective

Ordered by how strongly the researchers Subhash Kumar Yadav trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Improved exponential estimator for population variance using two auxiliary variables
  2. Variance Estimation Using Median of the Auxiliary Variable
  3. An improvement in estimating the population mean by using the correlation coefficient
  4. A General Family of Estimators for Estimating Population Mean Using Known Value of Some Population Parameter(s)
  5. Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning (2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT))
  6. Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses (Artif. Intell. Medicine)
  7. Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping
  8. State of art surveys of overviews on MCDM/MADM methods
  9. An overview of deep learning in medical imaging focusing on MRI
  10. A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images (Applied Sciences)

Their papers