DecisionTree for Classification and Regression: A State-of-the Art Review
M Jena, S Dehuri - Informatica, 2020 - informatica.si
Classification and regression are defined under the umbrella of the prediction task of data
mining. Discrete values are predicted using classification techniques whereas regression …
mining. Discrete values are predicted using classification techniques whereas regression …
Predicting longitudinal dispersion coefficient in natural streams using M5′ model tree
The longitudinal dispersion coefficient is a key parameter in determining the distribution of
pollution concentration, especially in temporally time-varying source cases after full cross …
pollution concentration, especially in temporally time-varying source cases after full cross …
Predictive explicit expressions from data-driven models for estimation of scour depth below ski-jump bucket spillways
R Shafagh Loron, M Samadi, A Shamsai - Water Supply, 2023 - iwaponline.com
Scour depth estimation is an essential factor in water-related engineering problems.
Scouring below spillways may endanger a dam's stability and even lead to dam destruction …
Scouring below spillways may endanger a dam's stability and even lead to dam destruction …
Model tree approach for predicting uniaxial compressive strength and Young's modulus of carbonate rocks
The uniaxial compressive strength (UCS) and Young's modulus (E) of rock are important
parameters for evaluating the strength, deformation, and stability of rock engineering …
parameters for evaluating the strength, deformation, and stability of rock engineering …
Wave load formulae for prediction of wave-induced forces on a slender pile within pile groups
L Bonakdar, H Oumeraci, A Etemad-Shahidi - Coastal Engineering, 2015 - Elsevier
Pile-supported structures commonly found in both offshore (eg offshore oil and gas
platforms) and coastal environments (eg sea bridges, piers and jetties) are generally built by …
platforms) and coastal environments (eg sea bridges, piers and jetties) are generally built by …
[HTML][HTML] A physics-informed machine learning model for time-dependent wave runup prediction
Wave runup is a critical factor that affects coastal flooding, shoreline changes, and the
damage to coastal structures. Climate change is also expected to amplify the impact of wave …
damage to coastal structures. Climate change is also expected to amplify the impact of wave …
Model tree approach for prediction of pile groups scour due to waves
A Etemad-Shahidi, N Ghaemi - Ocean Engineering, 2011 - Elsevier
Scour around piles could endanger the stability of the structures placed on them. Hence, an
accurate estimation of the scour depth around piles is very important in coastal and marine …
accurate estimation of the scour depth around piles is very important in coastal and marine …
Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways
The scour below spillways can endanger the stability of the dams. Hence, determining the
scour depth downstream of spillways is of vital importance. Recently, soft computing models …
scour depth downstream of spillways is of vital importance. Recently, soft computing models …
Interval estimation of construction cost at completion using least squares support vector machine
Completing a project within the planned budget is the bottom-line of construction
companies. To achieve this goal, periodic cost estimation is vitally important not only in the …
companies. To achieve this goal, periodic cost estimation is vitally important not only in the …
The use of genetic programming to develop a predictor of swash excursion on sandy beaches
M Passarella, EB Goldstein… - Natural Hazards and …, 2018 - nhess.copernicus.org
We use genetic programming (GP), a type of machine learning (ML) approach, to predict the
total and infragravity swash excursion using previously published data sets that have been …
total and infragravity swash excursion using previously published data sets that have been …