Lamine Diop
Environmental Engineering · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 32 citations into it
Whom Lamine Diop trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lamine Diop's perspective
Ordered by how strongly the researchers Lamine Diop trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Networks: A Comprehensive Foundation
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
- Support-Vector Networks
- Data-driven modelling: some past experiences and new approaches
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
- Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression (Irrigation science)
- The Nature of Statistical Learning Theory
- Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
- A wavelet-support vector machine conjunction model for monthly streamflow forecasting