Predictive explicit expressions from data-driven models for estimation of scour depth below ski-jump bucket spillways

Estimation of scour downstream of a ski-jump bucket using the multivariate adaptive regression splines

تخمین ابعاد فرسایش بستر در پایین‌دست سرریز سیفونی با مستهلک کننده انرژی جامی شکل با استفاده از روش برخورد گروهی با داده‌ها (GMDH)

The investigation of local scour below hydraulic structures is so complex that makes it difficult to establish a general model to provide an accurate estimation for the local scour dimension. During the last decades, Data Driven Methods (DDM) have  been used extensively in the modeling and prediction of unknown or complex behaviors of systems One of these methods is Group Method of Data Ha...

Alternative neural networks to estimate the scour below spillways

Artificial neural networks (ANN’s) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In every new application it therefore becomes necessary to check their usefulness vis-à-vis the traditional methods and also to ascertain their performance by trying out different combinations of network architectures and learnin...

Prediction of scour dimension in the Plunge Pools below Outlet Bucket with Artificial intelligence method

Accurate prediction of sediment scour hole dimensions downstream of hydraulic structures, e.g. the outlet bucket, is a complex and not straight forward engineering problem encountered worldwide. Because of the complexities of the study, its comprehensive, simultaneous including water flow,  sediment and applying all of the effective variables involved in scouring it is not easy possible. Dimens...

Ski injury predictive analytics from massive ski lift transportation data

Ski injury research is traditionally studied on small-scale observational studies where risk factors from univariate and multivariate statistical models are extracted. In this article, a large-scale ski injury observational study was conducted by analyzing skier transportation data from six consecutive seasons. Logistic regression and chi-square automatic interaction detection decision tree mod...