30 citations as recorded by crossref.

1. Prediction of erosional rates for cohesive sediments in annular flume experiments using artificial neural networks O. Skulovich et al.
2. A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression O. Kisi & C. Ozkan
3. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction H. Afan et al.
4. Performance evaluation of two different neural network and particle swarm optimization methods for prediction of discharge capacity of modified triangular side weirs A. Zaji & H. Bonakdari
5. Simulation of Tidal Morpho-dynamics in the Hooghly Estuary using CMS Flow and Artificial Neural Network Models S. Bakshi & K. Bhar
6. Climate change and coastal morphodynamics: Interactions on regional scales P. Chowdhury et al.
7. The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction O. Kisi & Z. Yaseen
8. Sediment suspension and bed morphology in a mean shear free turbulent boundary layer B. Johnson & E. Cowen
9. A Process-based calibration Procedure for Non-Cohesive Silt Transport Models at Shahid Rajaee Port Access Channel S. Hoseini Chavooshi & R. Kamalian
10. MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY H. Ahmad
11. On the Application of Machine Learning Techniques to Regression Problems in Sea Level Studies M. Hieronymus et al.
12. Estimation of sediment discharge using a tree-based model E. Jang et al.
13. Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements D. Bujak et al.
14. Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database D. Bujak et al.
15. A review of machine learning applications to coastal sediment transport and morphodynamics E. Goldstein et al.
16. Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions A. Zaji & H. Bonakdari
17. Simulating mesoscale coastal evolution for decadal coastal management: A new framework integrating multiple, complementary modelling approaches B. van Maanen et al.
18. A machine learning approach for the prediction of settling velocity E. Goldstein & G. Coco
19. NEHİRLERDE SEDİMENT MİKTARININ BELİRLENMESİNDE AMPİRİK MODELLEME TEKNİKLERİNİN DEĞERLENDİRİLMESİ B. GÜVEN & Z. AKDOĞAN
20. Determination Discharge Capacity of Triangular Labyrinth Side Weir Using Multi-Layer Neural Network (ANN-MLP) S. Karimi et al.
21. Assessing the Contribution of the Environmental Parameters to Eutrophication with the Use of the “PaD” and “PaD2” Methods in a Hypereutrophic Lake E. Hadjisolomou et al.
22. Prediction of wave ripple characteristics using genetic programming E. Goldstein et al.
23. Prediction of time-dependent sediment suspension in the surf zone using artificial neural network H. Yoon et al.
24. Efficient methods for prediction of velocity fields in open channel junctions based on the artifical neural network A. Zaji & H. Bonakdari
25. Organic food market segmentation based on the neobehavioristic theory of consumer behavior A. Tohidi et al.
26. Combining process-based and data-driven approaches to forecast beach and dune change M. Itzkin et al.
27. Data-Driven Analysis of Stratified Flow Effect on Suspended Sediment Concentration in an Estuary H. Seo et al.
28. The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning C. Houser et al.
29. Predicting water turbidity in a macro-tidal coastal bay using machine learning approaches Y. Wang et al.
30. Application of artificial neural network for predicting water levels in Hooghly estuary, India K. Bhar & S. Bakshi