Aman Mohammad Kalteh

Artificial Intelligence · 2008–2015

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #16,248 of 35,345 by trust here, #29,412 by citations
• Environmental Engineering — 12 citations into it; #1,809 of 5,479 by trust here, #4,337 by citations
• Water Science and Technology — 7 citations into it; #1,390 of 1,711 by trust here, #1,442 by citations
• Electrical and Electronic Engineering — 6 citations into it; #5,862 of 16,539 by trust here, #16,053 by citations

Whom Aman Mohammad Kalteh trusts overall

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

1. Yuhai Wu
2. Holger R. Maier
3. Gavin J. Bowden
4. Wenchao Wang
5. Graeme C. Dandy
6. Juha Vesanto
7. Kwok-Wing Chau
8. Teuvo Kohonen
9. Shie-Yui Liong
10. Jan Adamowski

Who trusts Aman Mohammad Kalteh overall

1. Xiangang Luo
2. Holger R. Maier
3. Xiaohui Yuan
4. Shuang Zhu
5. Graeme C. Dandy
6. Ashu Jain

Papers from Aman Mohammad Kalteh's perspective

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

1. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
2. Model Induction with Support Vector Machines: Introduction and Applications
3. Input determination for neural network models in water resources applications. Part 1—background and methodology
4. Statistical Learning Theory
5. Support vector regression for real-time flood stage forecasting
6. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
7. Neural Networks: A Comprehensive Foundation
8. FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES 1
9. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
10. Optimal division of data for neural network models in water resources applications

Their papers

• Wavelet Genetic Algorithm-Support Vector Regression (Wavelet GA-SVR) for Monthly Flow Forecasting (2015) — 72 citations
• Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application (2008) — 475 citations