Isa Ebtehaj

Environmental Engineering · 2015–2019

A researcher in the Science corpus: 14 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 40 citations into it; #3,339 of 5,479 by trust here, #1,975 by citations
• Water Science and Technology — 25 citations into it
• Global and Planetary Change — 23 citations into it
• Electrical and Electronic Engineering — 22 citations into it
• Civil and Structural Engineering — 11 citations into it; #4,065 of 6,160 by trust here, #2,587 by citations
• Ecology — 6 citations into it; #7,526 of 10,717 by trust here, #8,179 by citations

Whom Isa Ebtehaj trusts overall

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

1. Kwok-Wing Chau
2. Jianyi Lin
3. C. Wu
4. Wenchao Wang
5. Chun-tian Cheng
6. Ozgur Kisi
7. G. Huang
8. Hossein Bonakdari
9. James Kennedy
10. R. Eberhart

Who trusts Isa Ebtehaj overall

1. Hossein Bonakdari
2. Hamed Azimi
3. Hamid Moeeni
4. Mohammad Zeynoddin

Papers from Isa Ebtehaj's perspective

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

1. Genetic Algorithms in Search Optimization and Machine Learning
2. Support-Vector Networks
3. Modeling of the daily rainfall-runoff relationship with artificial neural network
4. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
5. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
6. Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques
7. A new optimizer using particle swarm theory
8. Discharge coefficient of a semi-elliptical side weir in subcritical flow
9. Estimating discharge coefficient of semi-elliptical side weir using ANFIS
10. The Nature of Statistical Learning Theory

Their papers

• Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel (2019) — 84 citations
• New insights into soil temperature time series modeling: linear or nonlinear? (2019) — 65 citations
• A reliable linear stochastic daily soil temperature forecast model (2019) — 80 citations
• An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition (2018) — 103 citations
• Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length (2018) — 80 citations
• Design of a Hybrid ANFIS–PSO Model to Estimate Sediment Transport in Open Channels (2018) — 46 citations
• Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model (2017) — 241 citations
• Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines (2017) — 62 citations
• Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point (2017) — 143 citations
• A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer (2016) — 55 citations
• Assessment of evolutionary algorithms in predicting non-deposition sediment transport (2016) — 54 citations
• Bed load sediment transport estimation in a clean pipe using multilayer perceptron with different training algorithms (2016) — 55 citations
• Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs (2016) — 81 citations
• Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices (2015) — 87 citations