Haitham Abdulmohsin Afan
Environmental Engineering · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 35 citations into it
Whom Haitham Abdulmohsin Afan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ozgur Kisi (in Environmental Engineering)
Papers from Haitham Abdulmohsin Afan's perspective
Ordered by how strongly the researchers Haitham Abdulmohsin Afan trusts endorse each paper. Same corpus, a different order for every researcher.
- A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework (Theoretical and Applied Climatology)
- Catchment compatibility via copulas: A non-parametric study of the dependence structures of hydrological responses
- The Nature of Statistical Learning Theory
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…
- Modeling of the daily rainfall-runoff relationship with artificial neural network
- Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
- Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
Their papers
- Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm (2020) — 96 citations
- Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors (2019) — 52 citations
- Machine learning methods for better water quality prediction (2019) — 574 citations
- Artificial intelligence based models for stream-flow forecasting: 2000-2015 (2015) — 501 citations