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A systematic review of machine learning techniques and applications in soil improvement using green materials
According to an extensive evaluation of published studies, there is a shortage of research on
systematic literature reviews related to machine learning prediction techniques and …
systematic literature reviews related to machine learning prediction techniques and …
The application of soft computing models and empirical formulations for hydraulic structure scouring depth simulation: a comprehensive review, assessment and …
Prediction of scouring characteristics is one of the major issues in hydraulic and hydrology
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
engineering. Over the past five decades, numerous empirical formulations (EFs), based on …
Prediction of probability of liquefaction using soft computing techniques
Prediction of liquefaction potential of any soil deposit is itself a very challenging task. The
problem becomes even more demanding when it becomes necessary to incorporate the …
problem becomes even more demanding when it becomes necessary to incorporate the …
Predicting tunnel boring machine performance through a new model based on the group method of data handling
The tunnel boring machine (TBM), developed within the past few decades, is designed to
make the process of tunnel excavation safer and more economical. The use of TBMs in civil …
make the process of tunnel excavation safer and more economical. The use of TBMs in civil …
Estimation of time dependent scour depth around circular bridge piers: Application of ensemble machine learning methods
Scour is a major issue which impacts the life of a hydraulic structure. In this work, we have
considered a bridge as an example of a hydraulic structure. Scour depth increases or …
considered a bridge as an example of a hydraulic structure. Scour depth increases or …
Scour prediction in long contractions using ANFIS and SVM
Protection of the channel bed in waterways against scour phenomena in long contractions is
a very significant issue in channels design. Several field and experimental investigations …
a very significant issue in channels design. Several field and experimental investigations …
A SVR-GWO technique to minimize flyrock distance resulting from blasting
Flyrock is one of the most important environmental and hazardous issues in mine blasting,
which can affect equipment and people, and may lead to fatal accidents. Therefore …
which can affect equipment and people, and may lead to fatal accidents. Therefore …
GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries
The accurate forecasting of future container throughput is important for the construction,
upgrade, and operation management of a port. This study introduces group method of data …
upgrade, and operation management of a port. This study introduces group method of data …
Which one is more important in daily runoff forecasting using data driven models: Input data, model type, preprocessing or data length?
Rainfall-runoff modeling is of great importance in hydrological sciences. Several different
models have been developed for runoff modeling in three main categories ie physically …
models have been developed for runoff modeling in three main categories ie physically …
GMDH to predict scour depth around a pier in cohesive soils
This study presents new application of group method of data handling (GMDH) to predict
scour depth around a vertical pier in cohesive soils. Quadratic polynomial was used to …
scour depth around a vertical pier in cohesive soils. Quadratic polynomial was used to …