Taher Rajaee

Environmental Engineering · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 16 citations into it; #1,863 of 5,479 by trust here, #3,093 by citations
• Artificial Intelligence — 8 citations into it

Whom Taher Rajaee trusts overall

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

1. Ingrid Daubechies
2. Vahid Nourani
3. J. Tu
4. Yuhai Wu
5. Stéphane Mallat

Who trusts Taher Rajaee overall

1. Yingyi Chen
2. Ahmad Khazaee Poul
3. Lihua Song
4. H. Ebrahimi
5. Yeqi Liu

Papers from Taher Rajaee's perspective

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

1. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.
2. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
3. Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application (Environmental Modelling & Software)
4. Data-driven modelling: some past experiences and new approaches
5. A wavelet tour of signal processing
6. Genetic Algorithms in Search Optimization and Machine Learning
7. Neural Networks: A Comprehensive Foundation
8. Detecting change in vague interpretations of landscapes
9. Support-Vector Networks
10. The Nature of Statistical Learning Theory

Their papers

• A review of the artificial intelligence methods in groundwater level modeling (2019) — 373 citations
• Simulation of groundwater level variations using wavelet combined with neural network, linear regression and support vector machine (2017) — 155 citations
• Forecasting of chlorophyll-a concentrations in South San Francisco Bay using five different models (2015) — 72 citations