S. Ranjan
Civil and Structural Engineering · with Sihag · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 8 citations into it; #3,301 of 6,160 by trust here, #3,892 by citations
Whom S. Ranjan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts S. Ranjan overall
Papers from S. Ranjan's perspective
Ordered by how strongly the researchers S. Ranjan trusts endorse each paper. Same corpus, a different order for every researcher.
- Comparison of infiltration models
- Modelling infiltration and quantifying spatial soil variability in a wasteland of Kharagpur, India
- Using Support Vector Machines to Develop Pedotransfer Functions for Water Retention of Soils in Poland
- Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils (Expert systems with applications)
- A general regression neural network
- Evaluation of some infiltration models and hydraulic parameters
- The Nature Of Statistical Learning Theory
- Neural Networks: A Comprehensive Foundation
- A training algorithm for optimal margin classifiers
- Estimation and inter-comparison of infiltration models (Water Science)
Their papers
- Prediction of unsaturated hydraulic conductivity using adaptive neuro- fuzzy inference system (ANFIS) (2019) — 100 citations
- Support vector regression-based modeling of cumulative infiltration of sandy soil (2018) — 61 citations
- Estimation and inter-comparison of infiltration models (2017) — 95 citations