L. Taghavi

Water resources management · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom L. Taghavi trusts

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

1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)

Papers from L. Taghavi's perspective

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

1. Statistical learning theory
2. Neural Networks: A Comprehensive Foundation
3. Support Vector Regression
4. Estimation of Dependences Based on Empirical Data
5. The Nature of Statistical Learning Theory
6. Statistical Learning Theory
7. Neural Networks: A Comprehensive Foundation
8. UCI Repository of machine learning databases
9. Fast Training of Support Vector Machines using Sequential Minimal Optimization
10. Neural Networks for Pattern Recognition

Their papers

• A Novel Approach for Prediction of Monthly Ground Water Level Using a Hybrid Wavelet and Non-Tuned Self-Adaptive Machine Learning Model (2019) — 57 citations
• Synthesis and characterizations of a novel FeNi3/SiO2/CuS magnetic nanocomposite for photocatalytic degradation of tetracycline in simulated wastewater (2018) — 148 citations