Search Results - "Sihag, Parveen"
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Prediction of the compressive strength of concrete using various predictive modeling techniques
Published in Neural computing & applications (01-04-2022)“…Concrete is one of the most essential construction materials used in construction industry. For assessment of concrete strength and quality, compressive…”
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Estimating critical depth and discharge over sloping rough end depth using machine learning
Published in Journal of hydroinformatics (01-03-2024)“…Abstract This study uses machine learning (ML) to predict the end-depth structure's discharge and critical depth (yc). Linear regression, M5P, random forest,…”
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Application of SVM, ANN, GRNN, RF, GP and RT models for predicting discharge coefficients of oblique sluice gates using experimental data
Published in Water science & technology. Water supply (01-02-2021)“…Abstract Gates are commonly used to adjust water flow in open channels. By using an oblique/inclined gate, the water transferring capacity of open irrigation…”
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ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash
Published in Journal of materials research and technology (01-11-2020)“…This study aims to establish systematic multiscale models to predict the compressive strength of cement mortar containing a high volume of fly ash (FA) and to…”
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Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete
Published in Materials (10-01-2022)“…In this investigation, the potential of M5P, Random Tree (RT), Reduced Error Pruning Tree (REP Tree), Random Forest (RF), and Support Vector Regression (SVR)…”
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Predicting the infiltration characteristics for semi-arid regions using regression trees
Published in Water science & technology. Water supply (01-09-2021)“…Abstract The study of the infiltration process is considered essential and necessary for all hydrology studies. Therefore, accurate predictions of infiltration…”
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Experimental investigation and prediction of free fall jet scouring using machine learning models
Published in International journal of sediment research (01-06-2023)“…The current study deals with the depth of scour at the location of impact between a free fall jet and a riverbed. The current study is based on extensive…”
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Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques
Published in Neural computing & applications (01-12-2021)“…A Parshall flume is a versatile device due to its diverse applications in irrigation canals, mine discharge, dam seepage, sewage treatment plants and many…”
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Estimation of UCS-FT of Dispersive Soil Stabilized with Fly Ash, Cement Clinker and GGBS by Artificial Intelligence
Published in Iranian journal of science and technology. Transactions of civil engineering (01-06-2021)“…In this investigation, the unconfined compressive strength-freeze–thaw (UCS-FT) of dispersive soil stabilized with cement clinker, ground granulated blast…”
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On the Indirect Estimation of Wind Wave Heights over the Southern Coasts of Caspian Sea: A Comparative Analysis
Published in Water (Basel) (01-03-2022)“…The prediction of ocean waves is a highly challenging task in coastal and water engineering in general due to their very high randomness. In the present case…”
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Approximation of aeration efficiency at sharp-crested weirs using metaheuristic regression approaches
Published in Journal of hydroinformatics (01-05-2023)“…Abstract This paper explores the ability of multivariate adaptive regression splines, decision trees, Gaussian processes, and multiple non-linear regression…”
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Predicting Bond Strength of FRP Bars in Concrete Using Soft Computing Techniques
Published in Arabian journal for science and engineering (2011) (01-05-2021)“…Fiber-reinforced plastic (FRP) rebars can be the futuristic potential reinforcing material in place of mild steel (MS) rebars which are highly prone to…”
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Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity
Published in Applied water science (01-07-2019)“…Hydraulic conductivity of soil reveals its influencing role in the studies related to management of surface and subsurface flow, e.g. irrigation and drainage…”
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Comparative Evaluation of Infiltration Models
Published in KSCE journal of civil engineering (01-10-2018)“…Infiltration models are very helpful in designing and evaluating surface irrigation systems. The main purpose of this study is to compare infiltration models…”
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Estimation and inter-comparison of infiltration models
Published in Ulum al-miyah (01-04-2017)“…•The main aim is estimation and inter-comparison of infiltration models.•The field infiltration tests were carried out by double ring infiltrometer.•The…”
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Suspended sediment load prediction in consecutive stations of river based on ensemble pre-post-processing kernel based approaches
Published in Water science & technology. Water supply (01-11-2021)“…Abstract Sediment transportation and accurate estimation of its rate is a significant issue for river engineers and researchers. In this study, the capability…”
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Prediction of Homogeneous Earthen Slope Safety Factors Using the Forest and Tree Based Modelling
Published in Geotechnical and geological engineering (01-04-2021)“…This study assesses the potential of soft-computing based models i.e. Random Forest ( RF ), Random Tree ( RT ), M5P, Bagging M5P and Stochastic M5P for…”
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An expert system for predicting the infiltration characteristics
Published in Water science & technology. Water supply (01-03-2022)“…Abstract Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow, and surface and subsurface water quality and quantity…”
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Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder
Published in Materials (23-08-2022)“…The purpose of the research is to predict the compressive and flexural strengths of the concrete mix by using waste marble powder as a partial replacement of…”
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Soft computing technique-based prediction of water quality index
Published in Water science & technology. Water supply (01-12-2021)“…Abstract Water quality plays a crucial role in management of water resources. Water quality indexes (WQIs) are frequently used methods to assess water quality…”
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