Anil Kumar

Environmental Engineering · Arabian Journal of Geosciences · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Anil Kumar trusts overall

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

  1. Ravinesh C. Deo
  2. Anshuman Mishra
  3. Mumtaz Ali
  4. Ozgur Kisi
  5. Mehmet Sahin
  6. V. Desai

Who trusts Anil Kumar overall

  1. Ozgur Kisi
  2. Anurag Malik

Papers from Anil Kumar's perspective

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

  1. Drought forecasting using artificial neural networks and time series of drought indices
  2. Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
  3. Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
  4. Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran) (Natural Hazards)
  5. Modeling of the daily rainfall-runoff relationship with artificial neural network
  6. Drought forecasting using feed-forward recursive neural network
  7. A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
  8. Evaluating the support vector machine for suspended sediment load forecasting based on gamma test (Arabian Journal of Geosciences)
  9. Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
  10. A logical calculus of the ideas immanent in nervous activity

Their papers