S. Eslamian
Environmental Engineering · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 8 citations into it
- Global and Planetary Change — 5 citations into it
- Water Science and Technology — 5 citations into it
Whom S. Eslamian trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Pao-Shan Yu (in Global and Planetary Change)
Papers from S. Eslamian's perspective
Ordered by how strongly the researchers S. Eslamian trusts endorse each paper. Same corpus, a different order for every researcher.
- A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region
- Comparison of Several Flood Forecasting Models in Yangtze River
- Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils (Expert systems with applications)
- Support vector regression for real-time flood stage forecasting
- An adaptive neural-fuzzy inference system (ANFIS) for detection of bruises on Chinese bayberry (Myrica rubra) based on fractal dimension and RGB intensity color
- Evaluation of rainfall and discharge inputs used by Adaptive Network-based Fuzzy Inference Systems (ANFIS) in rainfall–runoff modeling
- Model Induction with Support Vector Machines: Introduction and Applications
- Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
- The Nature of Statistical Learning Theory
- Weighted least squares support vector machines: robustness and sparse approximation (Neurocomputing)